Resources

The secret to modernizing monoliths and scaling microservices across your organization? An event-driven architecture.

Leverage Confluent Cloud and Google Cloud Platform to modernize your streaming data, and set your data in motion. Join us for an exploration of the solution,an overview of how companies are modernizing their data with Confluent Cloud, and a quick demo and Q&A with our subject matter experts.

Join Kai Waehner, Field CTO at Confluent, for an online talk in which he will explore the latest data in motion & Apache Kafka® use cases for the defence industry.

Gemeinsam mit unserem Partner MongoDB und der idealo werden wir das Thema Legacy Modernisierung durchleuchten.

In Sencrop’s case, working with IoT at the “edge” means collecting and providing accurate data from the farm fields. Find out how AWS and Confluent Cloud are powering this real-time processing of data for anomaly detection and weather prediction.

This webinar explores use cases and architectures for Kafka in the cybersecurity space, also featuring a very prominent example of combining Confluent and Splunk with Intel’s Cyber Intelligence Platform (CIP).

Join us for Camp Confluent at the end of June. This free virtual event offers three workshops to discover how Confluent unlocks your data’s potential by enabling a new class of event-driven microservices.

During his tenure at Walmart, Suman Pattnaik, Director of Engineering at Walmart has built 2 of the applications that continue to play a critical role in customer satisfaction, using Kafka: real-time inventory and real-time replenishment systems.

Download this white paper to read how Confluent can power the infrastructure necessary to run Autonomous Networks.

This eBook will explain how you can modernize your data architecture with a real-time, global data plane that eliminates the need for point-to-point connections and makes your data architecture simpler, faster, more resilient, and more cost effective.

Join Joseph Morais, Staff Cloud Partner SA, and Braeden Quirante, Cloud Partner SA at Confluent as they discuss Apache Kafka and Confluent.

This demo webinar will provide you with everything you need to get started with the latest capabilities of our cloud-native data streaming platform, Confluent Cloud.

Forrester recently released a Total Economic Impact report that identified $2.5M+ in savings, a 257% ROI, and <6 month payback for organizations that used Confluent Cloud instead of Open Source Apache Kafka.

This three-part online talk series introduces key concepts, use cases, and best practices for getting started with microservices.

Join us for this webinar to see how Confluent and Databricks enable companies to set data in motion across any system, at any scale, in near real-time.

We’ve got an exciting line up of sessions designed to get you up to speed on all things Confluent Cloud! You’re sure to gain invaluable insights, no matter how many you’re able to join.

In einer interaktiven Panel-Diskussionen wollen wir gemeinsam mit Daten-Verantwortlichen von Allianz Technology, HDI und der Gothaer Versicherung diskutieren, wie der Weg hin zu einem zentralen Nervensystem für Daten aussehen kann.

As the DoD presses forward with Joint All-Domain Command and Control (JADC2) programs and architectures the Air Force is working to stand up technology centers that will not only allow for the sharing of data but for the sharing of data in motion.

We invite you to join Jesse Miller, our lead Product Manager for Health+, in an upcoming webinar to learn about how Health+ can optimize your deployment, give you the highest level of monitoring visibility, and provide intelligent alerts and accelerated support when you need it.

Migrating, innovating, or building in the cloud requires retailers to rethink their data infrastructure. Confluent and Azure enable companies to set data in motion across any system, at any scale, in near real-time.

This demo webinar will show you how Confluent is the world’s most trusted data streaming platform, with resilience, security, compliance, and privacy built-in by default.

Leverage Confluent Cloud and Google Cloud Platform products such as BigQuery to modernize your data in minutes, setting your data in motion.

Confluent Cloud alleviates the burden of managing Apache Kafka, Schema Registry, Connect, and ksqlDB so teams can effectively focus on modern app development and deliver immediate value with your real-time use cases.

Join us for a live hands-on lab and learn how you can set your data in motion with Confluent Cloud - a fully managed platform that delivers Apache Kafka and the surrounding toolchain you’ll need for your streaming use cases.

Download this Forrester study to understand the economic benefits of Confluent Cloud.

Introduction to serverless, how it works, and the benefits stateful serverless architectures provide when paired with data streaming technologies.

This webinar offers suggestions for best practices, the kinds of tools you’ll need, and how to get your organization started down a path toward a data mesh.

TDWI Webinar "Data-Warehouse-Modernisierung zur Continuous Intelligence; Innovativer Ansatz bei Kunden in der Medienbranche" mit Confluent & Data Reply

The demand for fast results and decision making, have generated the need for real-time event streaming and processing of data adoption in financial institutions to be on the competitive edge.

Interested in bringing stream processing to your organization, but unclear on how to get started? Designed to help you go from idea to proof of concept, this online talk dives into a few of the most popular stream processing use cases and workloads to help get you up and running with ksqlDB.

Retailers that have embraced the opportunities of the prolonged pandemic are emerging leaner and stronger than before. Hear Lawrence Stoker, Senior Solutions Engineer at Confluent, walk through the data in motion use cases that are re-inventing the retail business.

An overview of Confluent’s Core Product Pillars.

Hivecell and Confluent deliver the promise of bringing a piece of Confluent Cloud right there to your desk and deliver managed Kafka at the edge for the first time at scale

In 2022, if you want to deliver high-value projects that drive competitive advantage or business differentiation quickly, your best people can’t be stuck in the day-to-day management of Kafka, and your budget is better spent on your core business. By now you know, the answer is cloud.

Apache Kafka® was built with the vision to become the central nervous system that makes real-time data available to all the applications that need to use it, with numerous use cases like stock trading and fraud detection, and real-time analytics.

Today’s data sources are fast-moving and dispersed, which can leave businesses and engineers struggling to deliver data and applications in real-time. While this can be hard, we know it doesn’t have to be - because we’ve already made it easy.

Learn more about Confluent Platform 7.0 and how Cluster Linking enables you to leverage modern cloud-based platforms and build hybrid architectures with a secure, reliable, and cost-effective bridge.

To learn more about the E2E Encryption Accelerator and how it may be used to address your data protection requirements, download the Confluent E2E Encryption Accelerator white paper.

This webinar will address the problems with current approaches and show you how you can leverage Confluent’s platform for data in motion to make your data architecture fast, cost-effective, resilient, and secure.

Kafka is now a technology developers and architects are adopting with enthusiasm. And it’s often not just a good choice, but a technology enabling meaningful improvements in complex, evolvable systems that need to respond to the world in real time. But surely it’s possible to do wrong!

Mehr Informationen über die Implementierung einer Echtzeit-Datenplattform, die alle Teile eines globalen Unternehmens verbindet, bietet dieses kostenlose Whitepaper von Confluent über Hybrid- und Multi-Cloud-Referenzarchitektur.

Selbstfahrende Autos sind schon lange nicht mehr nur Fiktion, sondern werden aktiv im Rahmen von Smart-City-Projekten getestet. In unserer Live-Demo zeigen wir, wie Daten in Echtzeit korreliert werden um kontextsensitive Entscheidungen treffen zu können.

This webinar will provide you with everything you need to get started with all the latest capabilities available on our cloud-native data streaming platform, Confluent Cloud.

Listen back and view the presentations from the Data in Motion Tour 2021 - EMEA.

We will discuss Confluent’s applicability to SIEM and shows an end-to-end demo of Confluent and Confluent Sigma, an open source project built by Confluent for processing streams of SIEM data in action, showing how to bridge the gap between old-school SIEM solutions and a next-gen architecture.

Differentiating cloud-native, cloud, and cloud services, and lessons learned building a fully managed, elastic, cloud-native Apache Kafka.

Today, with Confluent, enterprises can stream data across hybrid and multicloud environments to Amazon Redshift, powering real-time analysis while reducing total cost of ownership and time to value.

Die Digital Banking Suite ist die neue eBanking Lösung von mimacom, welche die digitalen Touchpoints von Banken auf ein neues Level bringt. Diese vereint innovative Funktionen mit bewährten Banking Standards. Confluent ist mit "Data in Motion" ein essenzieller Bestandteil dieser Lösung.

Kafka Streams, a scalable stream processing client library in Apache Kafka, defines the processing logic as read-process-write cycles in which all processing state updates and result outputs are captured as log appends.

bietet Confluent Unternehmen eine vollständige und sichere Bereitstellung von Kafka und macht es überall dort, wo sich Apps und Daten befinden, verfügbar.

Kafka is now a technology developers and architects are adopting with enthusiasm. And it’s often not just a good choice, but a technology enabling meaningful improvements in complex, evolvable systems that need to respond to the world in real time. But surely it’s possible to do wrong!

In this webinar, we'll introduce you to Confluent Platform 7.0, which offers Cluster Linking to enable you to leverage modern cloud-based platforms and build hybrid architectures with a secure, reliable, and cost-effective bridge between on-prem and cloud environments.

Dieses umfassende E-Book enthält eine detaillierte Einführung in Apache Kafka® , die verteilte Publish-Subscribe-Queue zur Verarbeitung von Echtzeit-Datenfeeds.

Learn how Confluent Cluster Linking can seamlessly integrate and share data across these environments in real-time by leveraging your current Confluent/Apache Kafka deployments.

In this webinar, we’ll show you how to leverage Confluent Cloud and Google Cloud Platform products such as BigQuery to streamline your data in minutes, setting your data in motion.

Learn how ACERTUS leverages Confluent Cloud and ksqlDB for their streaming ETL, data pre-processing and transformations, data warehouse modernization, and their latest data mesh framework project.

Optimize your SIEM to Build Tomorrow’s Cyber Defense with Confluent

Learn how to break data silos and accelerate time to market for new applications by connecting valuable data from your existing systems on-prem to your AWS environment using Confluent.

Today, with Confluent, enterprises can stream data across hybrid and multicloud environments to Google Cloud’s BigQuery, powering real-time analysis while reducing total cost of ownership and time to value.

Eine Kafka-basierte Event-Streaming-Architektur, welche als intelligentes Bindegewebe konzipiert ist, ermöglicht, dass Echtzeitdaten aus verschiedenen Quellen kontinuierlich durch das Unternehmen fließen und das Data Mesh-Paradigma unterstützten.

In this webinar, see how Confluent’s data warehouse modernization solution leverages the Azure Synapse connector to help enterprises create a bridge across your Azure cloud and on-prem environments. We’ll explain how the solution works, and show you a demo!

Watch this webinar to hear more about how Generali, Skechers and Conrad Electronics are using Qlik and Confluent to increase Kafka’s value.

Die sieben häufigsten Use Cases, die OEMs und Zulieferer in Deutschland und der ganzen Welt bereits umsetzen, indem sie auf ihre Daten als Echtzeit-Streams zugreifen, Legacy-Daten erschließen und Datensilos integrieren. ... und wenn die Daten nicht gelöscht wurden, dann streamen sie noch heute!

Unternehmen benötigen Zugang zu “Data in Motion”. Um die Erwartungen moderner Kunden zu erfüllen, muss ihnen ein ganzheitliches Echtzeit-Erlebnis geboten werden.

This webinar presents a solution using Confluent Cloud on Azure, Azure Cosmos DB and Azure Synapse Analytics which can be connected in a secure way within Azure VNET using Azure Private link configured on Kafka clusters.

Confluent’s Stream Governance suite establishes trust in the real-time data moving throughout your business and delivers an easy, self-service experience for multiple teams to discover, understand, and put these streams to work.

From data collection at scale to data processing in the Cloud or at the Edge—IoT architectures and data can provide enormous advantages through useful business and operational insights.

Dieses ausführliche Whitepaper nennt die häufigsten Anwendungsfälle von Echtzeit-Daten-Streaming mit Cloud-nativem Apache Kafka® auf einer AWS-Infrastruktur und zeigt am konkreten Beispiel, wie eine verwaltete Echtzeit-Architektur im Unternehmen eingeführt werden kann

Erfahren Sie mehr über drei entscheidende Geschäftsanwendungsfälle für Event-Streaming im Einzelhandel: Umsatzsteigerung durch Echtzeit-Personalisierung, Schaffung einheitlicher Omnichannel-Erlebnisse für Kunden und Steigerung der operativen Agilität mit Echtzeit-Bestandsdaten.

Erfahren Sie mehr über drei entscheidende Anwendungsfälle im Versicherungswesen für Event-Streaming: Reduzierung der operativen Kosten durch automatisierte digitale Erlebnisse, Personalisierung des Kundenerlebnisses und Risikominderung durch Echtzeit-Betrugs- und -Sicherheitsanalyse.

This webinar presents the decision making framework we use to coach our customers toward the most impactful and lowest cost PoC built on Kafka. The framework considers business impact, technology learning, existing resources, technical backgrounds, and cost to ensure the greatest chance of success.

Wenn Sie mehr über Event-Streaming erfahren und wissen möchten, wie damit höhere Kundenbindung, KI-Automatisierung, Echtzeitanalytik und vieles mehr möglich werden, laden Sie dieses kostenlose E-Book von Confluent herunter.

Hear how Fortune 500 companies and leading technology providers are driving real-time innovation through the power of data in motion to deliver richer customer experiences and automate backend operations.

Learn the challenges of traditional messaging middleware, hindering innovation, low fault tolerance at scale, ephemeral persistence liming data usage for analytics, and soaring technical debt and operational costs.

Explore new ways that your organization can thrive with a data-in-motion approach by downloading the new e-book, Harness Data in Motion Within a Hybrid and Multicloud Architecture.

Das Potenzial von Echtzeit-Kundendaten nutzen

Confluent is pioneering a new category of data infrastructure focused on data in motion, designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly and securely stream across any organization.

Learn how teams around the world continue building innovative, mission-critical applications fueled by data in motion. This 4-part webinar series will provide you with bite-sized tutorials for how to get started with all the latest capabilities available on the platform.

In 10-15 Minuten zeigen euch unsere Kafka-Experten, wie schnell ihr eure Daten in Bewegung bringen könnt: Von der Erstellung der on-demand Cluster über die Daten-Erstellung via Echtzeit-Stream-Processing bis hin zum Account-Management gehen wir durch die wichtigsten Schritte

This webinar will cover how you can protect your Kafka use cases with enterprise-grade security, reduce your Kafka operational burden and instead focus on building real-time apps that drive your business forward, and pursue hybrid and multi-cloud architectures with a data platform.

In this short, 20-minute session you’ll gain everything you need to get started with development of your first app based upon event-driven microservices.

Bei Interesse an einem vollständig verwalteten Cloud-Service, der in noch höherem Umfang Kosten senkt und die Wertschöpfung beschleunigt, empfehlen wir das folgende Whitepaper: Confluent Cloud kosteneffizient einsetzen

Discover how Homepoint uses Confluent and Azure to Speed up Loan Processes

Watch this session to learn how to streamline infrastructure, increase development velocity, unveil new use cases, and analyze data in real-time.

Establish event streaming as the central nervous system of your entire business, perhaps starting with a single use case and eventually architecting a system around event-driven microservices or delivering net-new capabilities like streaming ETL or a comprehensive customer 360.

Discover how to fuel Kafka-enabled analytics use cases—including real-time customer predictions, supply chain optimization, and operational reporting—with a real-time flow of data.

Confluent’s platform for data in motion unifies silos and sets data in motion across an organization. Learn how this empowers developers to build the kinds of real-time applications that make their organizations more competitive and more efficient.

By shifting to a fully managed, cloud-native service for Kafka, you can unlock your teams to work on the projects that make the best use of your data in motion.

Confluent Platform completes Kafka with a set of enterprise-grade features and services. Confluent Platform can reduce your Kafka TCO by up to 40% and accelerate your time to value for new data in motion use cases by 6+ months. Learn how Confluent Platform drives these outcomes for our customers.

Apache Kafka is the foundation of modern data architectures, but the open-source technology alone doesn’t offer everything enterprises need. Confluent offers a complete and secure enterprise-grade distribution of Kafka and makes it available everywhere your apps and data reside.

Die Cloud – das wissen wir alle – bietet für viele Herausforderungen die perfekte Lösung. Sehr wahrscheinlich sind bereits fully-managed Cloud-Services wie S3, DynamoDB oder Redshift im Einsatz. Nun ist es an der Zeit, “fully-managed” auch für Kafka umzusetzen – mit Confluent Cloud auf AWS.

Anwendungsfälle für Echtzeit-Event-Streaming im IoT- und IIoT-Bereich mit Live-Demo eines Integrationsbeispiels von Apache Kafka & Confluent mit IBM-Lösungen

Anwendungsfälle für Echtzeit-Event-Streaming im Bankensektor mit Live-Demo eines Integrationsbeispiels von Apache Kafka & Confluent mit IBM-Lösungen

Anwendungsfälle für Echtzeit-Event-Streaming im öffentlichen Sektor mit Live-Demo eines Integrationsbeispiels von Apache Kafka & Confluent mit IBM-Lösungen.

Im Webinar wird eine bewährte Softwarearchitektur vorgestellt, die ihre Bewährungsprobe mit einer konkreten Praxisumsetzung in einer Landeshauptstadt bestanden hat.

In this webinar, we'll introduce you to Confluent Platform 6.2, which offers Health+, a new feature that includes intelligent alerting and cloud-based monitoring tools to reduce the risk of downtime, streamline troubleshooting, surface key metrics, and accelerate issue resolution.

This two part series provides an overview of what Kafka is, what it's used for, and the core concepts that enable it to power a highly scalable, available and resilient real-time event streaming platform.

Dieses Whitepaper gibt Antworten auf diese und mehr Fragen für Confluent Cloud, indem es unseren Ansatz für TCO und ROI beschreibt, konkrete Kundenbeispiele aufzeigt und Erkenntnisse aus eigener Erfahrung vermittelt.

This paper presents Apache Kafka’s core design for stream processing, which relies on its persistent log architecture as the storage and inter-processor communication layers to achieve correctness guarantees.

We live in a world of exponential data growth, and businesses are increasingly built around events - the real-time data in a company.

This white paper explores the potential benefits and relevance of deploying Confluent with the Istio service mesh.

Hier die Aufzeichnungen und Folien vom Kafka Summit 2020 ansehen, dem führenden Event für alle, die mehr über Daten-Streaming erfahren möchten.

Hier die Aufzeichnungen und Folien vom Kafka Summit 2020 ansehen, dem führenden Event für alle, die mehr über Daten-Streaming erfahren möchten.

Hier die Aufzeichnungen und Folien vom Kafka Summit 2020 ansehen, dem führenden Event für alle, die mehr über Daten-Streaming erfahren möchten.

Wer mehr darüber erfahren möchte, wie Confluent Cloud die Entwicklung von Anwendungen beschleunigt, Mitarbeiter entlastet und das Budget schont kann sich das kostenlose Tech-E-Book So läuft Kafka im Jahr 2021

In diesem E-Book erklären wir, wie Versicherer Google Cloud mit Event-Streaming von Confluent nutzen können, um ein modernes Versicherungserlebnis zu bieten und gleichzeitig die Kontrolle über Kosten und Risiko zu behalten.

During this session you’ll see a pipeline built with data extraction from MongoDB Atlas, real-time transformation with ksqlDB, and simple loading into Snowflake.

In diesem E-Book erklären wir, wie Einzelhändler Google Cloud mit der umfassenden Event-StreamingPlattform von Confluent für Apache Kafka.

Leveraging Confluent’s fully managed, cloud-native service for Apache Kafka®, DriveCentric has been able to successfully transform and grow their business within a rapidly changing market.

In diesem E-Book erklären wir, wie Finanzinstitute Google Cloud im Zusammenspiel mit Event-Streaming von Confluent nutzen können, um ein digitales Fundament für die Transformation des Kundenerlebnisses, die Effizienzsteigerung und Wachstumsbeschleunigung aufbauen können.

The ASAPIO Connector for Confluent allows true application-based change data capture, along with full database access. This webinar will showcase a SAP- and Confluent-certified solution to enable real-time event streaming for on-prem SAP data.

In this Online Talk we will discuss some of the key distinctions between Confluent and traditional message oriented middleware. We will go into detail about the architecture of Confluent and how it enables a new level of scalability and throughput.

Listen back and view the presentations from the Confluent Streaming Event Series in Europe 2020

Kai Waehner gibt einen Überblick über die Trends für “Data in Motion” und daraus entstehenden Use Cases für Unternehmen aller Branchen. Dieses Webinar sollte man nicht verpassen!

Die Handelsbranche ist im Umbruch, denn die Erwartungshaltung der Kunden heißt: Echtzeit! Hierfür setzen sowohl stationärer Handel als auch eCommerce auf “Data in Motion” mit Confluent und Apache Kafka.

Kein Bereich ist so auf große Datenmengen ausgelegt wie das Internet of Things und daher ist der Siegeszug der “Data in Motion” in diesem Umfeld nicht verwunderlich. Anhand einiger Use Cases zeigt Marcus Urbatschek, wie skalierbare Umgebungen entstehen und flexible Architekturen umgesetzt werden.

Daten werden auch im Mittelstand immer häufiger in Bewegung verarbeitet. BAADER zeigt in diesem Vortrag, wie dies erfolgreich umgesetzt wurde.

Banken und Finanzdienstleister stehen vor Architekturherausforderungen, die über Jahrzehnte gewachsen sind. Mit “Data in Motion” können Silos aufgebrochen und innovative Services ermöglicht werden.

In this white paper, you’ll learn about five Kafka elements that deserve closer attention, either because they significantly improve upon the behavior of their predecessors, because they are easy to overlook or to make assumptions about, or simply because they are extremely useful.

With Confluent, you can start streaming data into MongoDB Atlas in just a few easy clicks. Learn how to bring real-time capabilities to your business and applications by setting data in motion.

In this Online Talk you will learn:

• The rise of the streaming transformation (companies going digital. real-time)
• The resulting rise of Kafka as the technology that powers the streaming transformation
• How streaming relates to other major technology trends like cloud and mobile

Real-time ETL with Apache Kafka® doesn’t have to be a challenge. Join this webinar and see how with Confluent Cloud. With out-of-the-box source & sink connectors and SQL-based stream processing, all fully managed on a complete platform for data in motion.

Dieses Webinar in Kooperation mit HiveMQ und Computerwoche zeigt unter anderem, wie Unternehmen Fabriken, Produkte & Services in Echtzeit miteinander vernetzen und warum Edge übergreifend gedacht werden muss.

Wie Now-Marketing die Zukunft des Marketings und Vertriebs verändert

In this webinar, Dan Rosanova, Group Product Manager at Confluent, will cover:

• Why not all fully managed services for Kafka are created equal
• How Confluent Cloud eliminates your Kafka Ops burden
• How Confluent Cloud unlocks time and focus for other business needs

Learn about the benefits of leveraging a cloud-native service for Kafka, and how you can lower your total cost of ownership (TCO) by 60% with Confluent Cloud while streamlining your DevOps efforts. Priya Shivakumar, Head of Product, Confluent Cloud, will share two short demos.

Bürger erwarten reaktionsschnellen, personalisierten und effizienten Service von Behörden - in Echtzeit. Dieser 2-Seiter erklärt, wie Echtzeit-Bürger-Service aussehen kann.

Microservices have become a dominant architectural paradigm for building systems in the enterprise, but they are not without their tradeoffs.

View this webinar with Confluent and Microsoft experts to:

• Learn how companies are unlocking their data with Kafka
• Understand integration strategies that you can adopt
• See a demo of the Cosmos DB connector and how it can safely deliver data and events in real-time

Stream processing is a data processing technology used to collect, store, and manage continuous streams of data as it’s produced or received. Also known as event streaming or complex event processing (CEP), stream processing has grown exponentially in recent years due to its powerful...

Responsive, relevant, timely, insightful. Agencies are asking a lot of their data these days and treating it as a strategic asset. It’s a big job and a big change for agencies, which have been dealing with disconnected data silos, legacy applications and practices, and under-resourced data operations for decades. Making that shift from data as a passive to an active asset takes some work, but it pays off. In this report, you’ll learn how to use event streaming to process, store, analyze and act on both historical and real-time data in one place. You'll also explore: Data access and management challenges agencies are facing and how to address them. How the CDC tracked COVID test events to maximize value from COVID testing. Best practices on data analysis and productivity.

The Fourth Industrial Revolution (also known as Industry 4.0) is the ongoing automation of traditional manufacturing and industrial practices, using modern smart technology. Event Streaming with Apache Kafka plays a massive role in processing massive volumes of data in real-time in a reliable, scalable, and flexible way using integrating with various legacy and modern data sources and sinks.

In this talk, we are going to observe the natural journey companies undertake to become real-time, the possibilities it opens for them, and the challenges they will face

Government agencies understand the need to augment traditional SIEM systems. And, with this knowledge comes the pressure to do so in a way that is better, faster, and cheaper than before.

This 60-minute online talk is packed with practical insights where you will learn how Kafka fits into a data ecosystem that spans a global enterprise and supports use cases for both data ingestion and integration

Wer in einem Unternehmen tätig ist, das von Automatisierung, IoT und Echtzeitdaten profitieren kann oder es bereits tut, sollte jetzt weiterlesen. Das Herzstück der Industrie 4.0 sind die Streaming-Daten.

To succeed, insurance companies must unify data from all their channels that may be scattered across multiple legacy systems as well as new digital applications. Without the ability to access and combine all this data in real time, delivering a truly modern insurance experience while assessing fast-changing risks can be an uphill battle. Our eBook explains how event streaming, an emerging technology for analyzing event data in real time, can help insurers compete with their insuretech peers. You will learn how combining event streaming from Apache Kafka® and Confluent with Google Cloud can help you.

To succeed, retailers must unify data scattered across point-of-sale, e-commerce, ERP, and other systems. Without integrating all of this data in motion—and making it available to applications in real time—it’s almost impossible to deliver a fully connected omnichannel customer experience.

Banking customers today demand personalized service and expect real-time insight into their accounts from any device—and not just during “business hours.” Financial institutions trying to meet those expectations have intense competition from each other as well as fintech startups...

Most insurance companies today are somewhere along the spectrum of digital transformation, finding new ways to use data while staying within the confines of strict regulatory complexity and capital requirements. But only a few insurtech leaders and innovative startups have really tapped into real-time streaming data as the architecture behind these efforts. In this free ebook, learn about three pivotal insurance business uses for event streaming: reducing operating costs with automated digital experiences, personalizing the customer experience, and mitigating risks with real-time fraud and security analytics.

Every one of your customer touch points, from an actual purchase to a marketing engagement, creates data streams and opportunities to trigger automations in real time.

In this ebook, you’ll learn about the adoption curve of event streaming and how to gain momentum and effect change within your organization. Learn how to wield event streaming to convert your enterprise to a real-time digital business, responsive to customers and able to create business outcomes in ways never before possible.

In this ebook, we cover five of the more common use cases Confluent has supported, with real-world customer examples and insights into how your organization can make the leap. You’ll get insight into how event streaming can help with use cases such as customer 360° and website clickstream analysis, legacy IT modernization, a single view of the business, next-gen apps, and real-time analytics. These are just a handful of the ways we’ve witnessed forward-thinking companies integrate event streaming into the core of their business models.

In this ebook, you’ll learn about the profound strategic potential in an event streaming platform for enterprise businesses of many kinds. The types of business challenges event streaming is capable of addressing include driving better customer experience, reducing costs, mitigating risk, and providing a single source of truth across the business. It can be a game changer.

We used to talk about the world’s collective data in terms of terabytes. Now, according to IDC’s latest Global Datasphere, we talk in terms of zettabtytes: 138Z of new data will be created in 2024—and 24% of it will be real-time data. How important is real-time streaming data to enterprise organizations? If they want to respond at the speed of business, it’s crucial. In this digital economy, having a competitive advantage requires using data to support quicker decision-making, streamlined operations, and optimized customer experiences. Those things all come from data.

In diesem E-Book erklären wir, wie Finanzinstitute Google Cloud im Zusammenspiel mit Event-Streaming von Confluent nutzen können, um ein digitales Fundament für die Transformation des Kundenerlebnisses, die Effizienzsteigerung und Wachstumsbeschleunigung aufbauen können.

Learn how companies will leverage event streaming, Apache Kafka, and Confluent to meet the demand of a real-time market, rising regulations, and customer expectations, and much more in 2021

In this 30-minute session, hear from top Kafka experts who will show you how to easily create your own Kafka cluster and use out-of-the-box components like ksqlDB to rapidly develop event streaming applications.

Hands-on workshop: Using Kubernetes, Spring Boot, Kafka Streams, and Confluent Cloud to rate Christmas movies.

IDC Perspective wirft einen Blick auf die Highlights von Confluent Platform 6.0 und erklärt die Bedeutung von Event-Streaming für das moderne Unternehmen.

In diesem E-Book werden die fünf häufigsten Use Cases für Event-Streaming vorgestellt, inklusive Kundenbeispielen aus der Praxis und Best Practices für die unternehmensinterne Transformation.

Dieses E-Book stellt die typische Adoptionskurve von Event-Streaming im Unternehmen vor und zeigt Beispiele, wie Schritt für Schritt Veränderungen in der Organisation umgesetzt werden könne

In diesem E-Book erfahren Sie, wie viel strategisches Potenzial für Unternehmen jeder Größe in einer Event-Streaming-Plattform steckt

Learn how Apache Kafka, Confluent, and event-driven microservices ensure real-time communication and event streaming for modernized deployment, testing, and continuous delivery.

In Live-Demos erklären wir, welchen Mehrwert Audit Logs in Confluent Platform 6.0

Basierend auf dem Überblicks-Webinar zeigen wir einen detaillierten Einblick in weitere neue Funktionalitäten von Confluent Platform 6.0.

If you’re a leader in a business that could or does benefit from automation, IoT, and real-time data, don’t miss this white paper. The lifeblood of Industry 4.0 is streaming data, which is where event streaming comes in: the real-time capture, processing, and management of all your data in order to drive transformative technology initiatives.

Der Aufbau und die Skalierung event-getriebener Anwendungen ist eine echte Herausforderung, da sich die Quellen für Event-Daten oft über mehrere Rechenzentren, Clouds, Microservices und stark verteilte Umgebungen erstrecken.

In this two-hour spooktacular workshop with Bruce Springstreams, learn about event-driven microservices with Spring BOOOOt and Confluent Cloud.

Basierend auf dem Überblicks-Webinar zeigen wir einen detaillierten Einblick in drei neue Funktionalitäten von Confluent Platform 6.0

For financial services companies, digital technologies can solve business problems, drastically improve traditional processes, modernize middleware and front-end infrastructure, improve operational efficiency, and most importantly, better serve customers.

Hear from Intrado’s Thomas Squeo, CTO, and Confluent’s Chief Customer Officer, Roger Scott, to learn how Intrado future-proofed their architecture to support current and future real-time business initiatives.

Technologies open up a range of use cases for Financial Services organisations, many of which will be explored in this talk. .

Confluent Cloud enabled the company to get started quickly, minimize operational overhead, and reduce engineering effort.

In this Online Talk Henrik Janzon, Solutions Engineer at Confluent, explains Apache Kafka’s internal design and architecture.

In diesem Online Talk werden die wichtigsten Funktionalitäten der neuesten Version Confluent Platform 6.0 behandelt, darunter viele Bestandteile des Project Metamorphosis.

The IDC Perspective on Confluent Platform 6.0 is here, and in it, you can read IDC’s lens on the importance of event streaming to enterprise companies today.

In this talk, we are going to show some example use cases that Data Reply developed for some of its customers and how Real-Time Decision Engines had an impact on their businesses.

Hier die Aufzeichnungen und Folien vom Kafka Summit 2020 ansehen, dem führenden Event für alle, die mehr über Daten-Streaming erfahren möchten.

Confluent is happy to announce that we will be providing new early release chapters of Kafka: The Definitive Guide v2 every month until the completion of the new e-book in Summer 2021.

In this webinar, we take a hands-on approach to these questions and walk through setting up a simple application written in .NET to a Confluent Cloud based Kafka cluster. Along the way, we point out best practices for developing and deploying applications that scale easily.

Confluent implements layered security controls designed to protect and secure Confluent Cloud customer data, incorporating multiple logical and physical security controls that include access management, least privilege, strong authentication, logging and monitoring, vulnerability management, and bug bounty programs.

Replace the mainframe with new applications using modern and less costly technologies. Stand up to the dinosaur, but keep in mind that legacy migration is a journey. This session will guide you to the next step of your company’s evolution!

This ENTERPRISE MANAGEMENT ASSOCIATES® (EMA™) eBook will show how, with fully managed cloud-based event streaming, executives, managers, and individual contributors gain access to real-time intelligence and the enterprise will achieve unprecedented momentum and material gain.

Databases represent some of the most successful software that has ever been written and their importance over the last fifty years is hard to overemphasize. Over this time, they have evolved to form a vast landscape of products that cater to different data types, volumes, velocities, and query characteristics. But the broad definition of what a database is has changed relatively little.

Event streaming: from technology to a completely new business paradigm.

Event Streaming Paradigm: rethink data as not stored records or transient messages, but instead as a continually updating stream of events.

You know the fundamentals of Apache Kafka. You are a Spring Boot developer and working with Apache Kafka. You have chosen Spring Kafka to integrate with Apache Kafka. You implemented your first producer, consumer, and maybe some Kafka streams, it's working... Hurray! You are ready to deploy to production what can possibly go wrong?

Learn how NAV (Norwegian Work and Welfare Department) are using Apache Kafka to distribute and act upon events. NAV currently distributes more than one-third of the national budget to citizens in Norway or abroad. They are there to assist people through all phases of life within the domains of work, family, health, retirement, and social security. Events happening throughout a person’s life determines which services NAV provides to them, how they provide them, and when they offer them.

Die schnell wachsende Welt der Datenstromverarbeitung kann entmutigend sein, da neue Konzepte wie verschiedene Arten von Zeitsemantiken, Aggregationen, Change Logs und Frameworks zu beherrschen sind. KSQL ist eine Open-Source, Apache 2.0 lizenzierte Streaming-SQL-Engine basierend auf Apache Kafka, die all dies vereinfacht und die Stream-Verarbeitung für jeden verfügbar macht, ohne dass Source Code geschrieben werden muss.

Eine weitere neue sicherheitsrelevante Funktion in Confluent Platform 5.4 sind Structured Audit Logs. Jetzt ist natürlich alles in Kafka ein Log, aber Kafka protokolliert nicht, was Kafka mit Kafka macht - nur das, was in einen Topics geschrieben wird.

In the world of online streaming providers, real-time events are becoming the new standard, driving innovation and a new set of use cases to react to a quickly changing market. We explain how, from simple media player heartbeats, Data Reply fueled a diverse set of near-real-time use cases and services for his customer, from blocking concurrent media streams, to recognizing ended sessions and trending content.

Large enterprises, government agencies, and many other organisations rely on mainframe computers to deliver the core systems managing some of their most valuable and sensitive data. However, the processes and cultures around a mainframe often prevent the adoption of the agile, born-on-the web practices that have become essential to developing cutting edge internal and customer-facing applications.

A company's journey to the cloud often starts with the discovery of a new use case or need for a new application. Deploying Confluent Cloud, a fully managed cloud-native streaming service based on Apache Kafka, enables organisations to revolutionise the way they build streaming applications and real-time data pipelines.

In unserem digitalen Zeitalter von Big Data und IoT, in dem täglich mehrere Trillionen Byte an Daten produziert werden, ist es für Unternehmen von ganz erheblicher Bedeutung, die richtigen Daten, zur richtigen Zeit bereit zu haben – egal in welcher Applikation und unabhängig davon, ob in der Cloud oder on-premise.

Apache Kafka® ist eine Streaming-Plattform, die entscheidende Geschäftsereignisse aus jeglichen Bereichen eines Unternehmens zu einer Art zentralem Nervensystem vereint, das sämtliche relevanten Aktivitäten in Form von Event-Datenströmen zusammenfasst.

Im zweiten Teil der Deep Dive Sessions besprechen wir den Aufbau eines logischen Clusters über mehrere Regionen, der alle Ihre HA SLAs (Bronce, Silver, Gold) abdeckt. Außerdem behandeln wir das große Potenzial zum Hochladen aller Ihrer Anwendungsfälle in einem Multi-Tenant-Cluster Ihrer Organisation.

Learn how Apache Kafka and Confluent help the gaming industry leverage real-time integration, event streaming, and data analytics for seamless gaming experiences at scale.

Apache Kafka is an open source event streaming platform. It is often used to complement or even replace existing middleware to integrate applications and build microservice architectures. Apache Kafka is already used in various projects in almost every bigger company today. Understood, battled-tested, highly scalable, reliable, real-time. Blockchain is a different story. This technology is a lot in the news, especially related to cryptocurrencies like Bitcoin. But what is the added value for software architectures? Is blockchain just hype and adds complexity? Or will it be used by everybody in the future, like a web browser or mobile app today? And how is it related to an integration architecture and event streaming platform? This session explores use cases for blockchains and discusses different alternatives such as Hyperledger, Ethereum and a Kafka-native tamper-proof blockchain implementation. Different architectures are discussed to understand when blockchain really adds value and how it can be combined with the Apache Kafka ecosystem to integrate blockchain with the rest of the enterprise architecture to build a highly scalable and reliable event streaming infrastructure. Speakers: Kai Waehner, Technology Evangelist, Confluent Stephen Reed, CTO, Co-Founder, AiB

Dieser Use Case soll aufzeigen, wie einfach es ist, reale und performante Umgebungen in der Confluent Cloud in kurzer Zeit zur Verfügung zu stellen und Analysen sofort zu starten

In this presentation, Lyndon Hedderly, Team Lead of Business Value Consulting at Confluent, will cover how Confluent works with customers to measure the business value of data streaming.

Developing a streaming solution working against a self-managed Kafka cluster, can be awkward and time consuming, largely due to security requirements and configuration red-tape. It's beneficial to use Confluent Cloud in the early stages to get quick progress. Creating the cluster in Confluent Cloud is super easy and allows you to concentrate on defining your Connect sources and sinks as well as fleshing out the streaming topology on your laptop. It also shows the client how easy it is to swap out the self-managed Kafka cluster with Confluent Cloud.

Without any coding or scripting, end-users leverage their existing spreadsheet skills to build customized streaming apps for analysis, dashboarding, condition monitoring or any kind of real-time pre-and post-processing of Kafka or KsqlDB streams and tables.

Join Kai Waehner, Technology Evangelist at Confluent, for this session which explores various telecommunications use cases, including data integration, infrastructure monitoring, data distribution, data processing and business applications. Different architectures and components from the Kafka ecosystem are also discussed.

Die Anpassung an die Echtzeit-Anforderungen unternehmenskritischen Anwendungen ist nur mit einer Architektur möglich, die sich elastisch skalieren lässt.

In this webinar we want to share our experience on how the Swiss Mobiliar, the biggest Swiss household insurance enterprise, introduced Kafka and led it to enterprise-wide adoption with the help of AGOORA.com.

Mit Confluent Platform 5.5 machen wir es Entwicklern noch einfacher, Zugang zu Kafka zu finden und mit der Erstellung von Event-Streaming-Anwendungen zu beginnen, unabhängig von der bevorzugten Programmiersprache oder den zugrunde liegenden Datenformaten, die in ihren Anwendungen verwendet werden.

Einzelhändler können ab sofort die Kaufabsicht der Kunden vorhersehen, als Reaktion auf einen Verkauf sofort den Bestand nachbestellen und neue Geschäfte in einem Bruchteil der Zeit integrieren. Und das ist nur die Spitze des Eisbergs...in diesem Vortrag wird Carsten einige Ideen rund um die Apache Kafka Streaming-Plattform im Einzelhandel vorstellen und einige davon auch live zeigen.

Join this Online Talk, to understand how and why Apache Kafka has become the de-facto standard for reliable and scalable streaming infrastructures in the finance industry.

This document provides an overview of Confluent and Snowflake’s integration, a detailed tutorial for getting started with the integration, and unique considerations to keep in mind when working with these two technologies.

TCO is the total cost of ownership, calculating out purchase price plus costs to operate. A comprehensive TCO assessment should factor in time, manpower, and other costs across an entire organization over time.

Dieses COMPUTERWOCHE-Whitepaper stellt Streaming-Plattformen vor, zeigt deren Business-Nutzen und präsentiert eine Reihe von Anwendungen.

Adjusting to the real-time needs of your mission-critical apps is only possible with an architecture that scales elastically. Confluent re-engineered Apache Kafka into an elastically scalable, next-gen event streaming platform that processes real-time data wherever it lives - making it accessible for any budget or use case.

Join Unity, Confluent and GCP to learn how to reduce risk and increase business options with a hybrid cloud strategy.

Mainframe offloading with Apache Kafka and its ecosystem can be used to keep a more modern data store in real-time sync with the mainframe. At the same time, it is persisting the event data on the bus to enable microservices, and deliver the data to other systems such as data warehouses and search indexes.

This white paper reports the results of benchmarks we ran on a 2-CKU multi-zone dedicated cluster and shows the ability of a CKU to deliver the stated client bandwidth on AWS, GCP, and Azure clouds.

Explore the use cases and architecture for Apache Kafka®, and how it integrates with MongoDB to build sophisticated data-driven applications that exploit new sources of data.

Experts from Confluent and Attunity share how you can: realize the value of streaming data ingest with Apache Kafka®, turn databases into live feeds for streaming ingest and processing, accelerate data delivery to enable real-time analytics and reduce skill and training requirements for data ingest.

Get answers to: How you would use Apache Kafka® in a micro-service application? How do you build services over a distributed log and leverage the fault tolerance and scalability that comes with it?

Get an introduction to Apache Kafka® and how it serves as a foundation for streaming data pipelines and applications that consume/process real-time data streams. Part 1 in the Apache Kafka: Online Talk Series.

In this talk by Jun Rao, co-creator of Apache Kafka®, get a deep dive on some of the key internals that makes Apache Kafka popular, including how it delivers reliability and compaction. Part 2 in the Apache Kafka: Online Talk Series.

Learn different options for integrating systems and applications with Apache Kafka® and best practices for building large-scale data pipelines using Apache Kafka. Part 3 in the Apache Kafka: Online Talk Series.

Learn typical use cases for Apache Kafka®, how you can get real-time data streaming from Oracle databases to move transactional data to Kafka and enable continuous movement of your data to provide access to real-time analytics.

Learn how to map practical data problems to stream processing and write applications that process streams of data at scale using Kafka Streams. Part 4 in the Apache Kafka: Online Talk Series.

In this talk, we survey the stream processing landscape, the dimensions along which to evaluate stream processing technologies, and how they integrate with Apache Kafka®. Part 5 in the Apache Kafka: Online Talk Series.

This talk focuses on how to integrate all the components of the Apache Kafka® ecosystem into an enterprise environment and what you need to consider as you move into production. Part 6 of the Apache Kafka: Online Talk Series.

This talk will examine the underlying dichotomy we all face as we piece such systems together--one that is not well served today. The solution lies in blending the old with the new and Apache Kafka® plays a central role. Part 1 in the Apache Kafka for Microservices: A Confluent Online Talk Series.

This practical talk will dig into how we piece services together in event driven systems, how we use a distributed log to create a central, persistent narrative and what benefits we reap from doing so. Part 2 in the Apache Kafka® for Microservices: A Confluent Online Talk Series.

This talk will look at how Stateful Stream Processing is used to build truly autonomous services. With the distributed guarantees of Exactly Once Processing, Event-Driven Services supported by Apache Kafka®. Part 3 in the Apache Kafka for Microservices: A Confluent Online Talk Series.

Join us as we walk through an overview of this exciting new service from the experts in Kafka. Learn how to build robust, portable and lock-in free streaming applications using Confluent Cloud.

Neha Narkhede talks about the experience at LinkedIn moving from batch-oriented ETL to real-time streams using Apache Kafka and how the design and implementation of Kafka was driven by this goal of acting as a real-time platform for event data.

Learn about the recent additions to Apache Kafka® to achieve exactly-once semantics (EoS) including support for idempotence and transactions in the Kafka clients.

Microservices guru Sam Newman, Buoyant CTO Oliver Gould and Apache Kafka® engineer Ben Stopford are joined by Jay Kreps, co-founder and CEO, Confluent for a Q&A session where they discuss and debate all things Microservices.

Join the discussion on the relationship between microservices and stream processing with Data-Intensive Apps author Martin Kleppmann, Confluent engineers Damian Guy and Ben Stopford, chaired by Jay Kreps, co-founder and CEO, Confluent.

Learn about the KSQL architecture and how to design and deploy interactive, continuous queries for streaming ETL and real-time analytics.

In this talk, Gwen Shapira describes the reference architecture of Confluent Enterprise, which is the most complete platform to build enterprise-scale streaming pipelines using Apache Kafka®. Part 1 in the Best Practices for Apache Kafka in Production Series.

In this session, we go over everything that happens to a message – from producer to consumer, and pinpoint all the places where data can be lost. Build a bulletproof data pipeline with Apache Kafka. Part 2 in the Best Practices for Apache Kafka in Production Series.

In this session, we discuss the basic patterns of multi-datacenter Apache Kafka® architectures, explore some of the use cases enabled by each architecture and show how Confluent Enterprise products make these patterns easy to implement. Part 3 in the Best Practices for Apache Kafka in Production Series.

In this session, we discuss disaster scenarios that can take down entire Apache Kafka® clusters and share advice on how to plan, prepare and handle these events. Part 4 in the Best Practices for Apache Kafka in Production Series.

In this presentation, we discuss best practices of monitoring Apache Kafka®. Part 5 of the Best Practices for Apache Kafka in Production series.

Tim Berglund covers the patterns and techniques of using KSQL. Part 1 of the Empowering Streams through KSQL series.

Join us as we build a complete streaming application with KSQL. There will be plenty of hands-on action, plus a description of our thought process and design choices along the way. Part 2 in the Empowering Streams through KSQL series.

In this session, Nick Dearden covers the planning and operation of your KSQL deployment, including under-the-hood architectural details. Part 3 out of 3 in the Empowering Streams through KSQL series.

In this talk, members of the Pinterest team offer lessons learned from their Confluent Go client migration and discuss their use cases for adopting Kafka Streams.

Dank Apache Kafka® können Unternehmen Echtzeitdaten optimal nutzen. Im Webinar erfahrt ihr mehr über Daten-Streaming und wie es Entwicklungskosten reduzieren kann.

Im gemeinsamen Online Talk von Confluent und Attunity zeigen wir, wie die Bereitstellung von Daten beschleunigt werden kann, um Echtzeitanalysen mit Live-Daten aus vielen Quellen zu ermöglichen.

In this interactive discussion, the KSQL team will answer 10 of the toughest, most frequently asked questions about KSQL.

In diesem Online Talk zeigen wir gibt eine kurze Einführung in Apache Kafka und die Verwendung als Daten-Streaming-Plattform.

Join The New York Times' Director of Engineering Boerge Svingen to learn how the innovative news giant of America transformed the way it sources content while still maintaining searchability, accuracy and accessibility—all through the power of a real-time streaming platform.

Gwen Shapira presents core patterns of modern data engineering and explains how you can use microservices, event streams and a streaming platform like Apache Kafka to build scalable and reliable data pipelines. Part 1 of 3 in Streaming ETL - The New Data Integration series.

In this online talk, Joe Beda, CTO of Heptio and co-creator of Kubernetes, and Gwen Shapira, principal data architect at Confluent and Kafka PMC member, will help you navigate through the hype, address frequently asked questions and deliver critical information to help you decide if running Kafka on Kubernetes is the right approach for your organization.

Capital One supports interactions with real-time streaming transactional data using Apache Kafka®. Join us for this online talk on lessons learned, best practices and technical patterns of Capital One’s deployment of Apache Kafka.

Join experts from VoltDB and Confluent to see why and how enterprises are using Apache Kafka as the central nervous system in combination with VoltDB.

In this talk, we'll build a streaming data pipeline using nothing but our bare hands, the Kafka Connect API and KSQL.

We’ll discuss how to leverage some of the more advanced transformation capabilities available in both KSQL and Kafka Connect. Part 3 of 3 in Streaming ETL - The New Data Integration online talk series.

The ‘current state of stream processing’ walks through the origins of stream processing, applicable use cases and then dives into the challenges currently facing the world of stream processing as it drives the next data revolution.

In this talk we will look at what event driven systems are; how they provide a unique contract for services to communicate and share data and how stream processing tools can be used to simplify the interaction between different services.

Watch Lyndon Hedderly's keynote from Big Data Analytics London 2018.

In this online talk, Technology Evangelist Kai Waehner will discuss and demo how you can leverage technologies such as TensorFlow with your Kafka deployments to build a scalable, mission-critical machine learning infrastructure for ingesting, preprocessing, training, deploying and monitoring analytic models.

See how Kinetica enables businesses to leverage the streaming data delivered with Confluent Platform to gain actionable insights.

Confluent Co-founder Jun Rao discusses how Apache Kafka® became the predominant publish/subscribe messaging system that it is today, Kafka's most recent additions to its enterprise-level set of features and how to evolve your Kafka implementation into a complete real-time streaming data platform.

There’s a prevailing enterprise perception that compliance with data protection regulations and standards is a burden: limiting the leverage of data.

Modern streaming data technologies like Apache Kafka® and Confluent KSQL, the streaming SQL engine for Apache Kafka, can help companies catch and detect fraud in real time instead of after the fact.

With the evolution of data-driven strategies, event-based business models are influential in innovative organizations.

What was once a ‘batch’ mindset is quickly being replaced with stream processing as the demands of the business impose real-time requirements on technology leaders.

Learn from field experts as they discuss how to convert the data locked in traditional databases into event streams using HVR and Apache Kafka®.

Rabobank rose to this challenge and defined the Business Event Bus (BEB) as the place where business events from across the organization are shared between applications.

In this online talk, you’ll hear about ingesting your Kafka streams into Imply’s scalable analytic engine and gaining real-time insights via a modern user interface.

In this session, we will share how companies around the world are using Confluent Cloud, a fully managed Apache Kafka® service, to migrate to AWS.

Learn how Generali Switzerland set up an event-driven architecture to support their digital transformation project.

This talk will cover how to integrate real-time analytics and visualizations to drive business processes and how KSQL, streaming SQL for Kafka, can easily transform and filter streams of data in real time.

Detecting fraudulent activity in real time can save a business significant amounts of money, but has traditionally been an area requiring a lot of complex programming and frameworks, particularly at scale.

This online talk includes in depth practical demonstrations of how Confluent and Panopticon together support several key financial services and IoT applications, including transaction cost analysis and risk monitoring.

In this session, we will share how companies around the world are using Confluent Cloud, a fully managed Apache Kafka® service, to migrate to GCP.

This online talk will showcase how Apache Kafka® plays a key role within Express Scripts’ transformation from mainframe to a microservices-based ecosystem, ensuring data integrity between two worlds.

This talk looks at one of the most common integration requirements – connecting databases to Apache Kafka.

In this all too fabulous talk, we will be addressing the wonderful and new wonders of KSQL vs. KStreams and how Ticketmaster uses KSQL and KStreams in production to reduce development friction in machine learning products.

In this online talk, you will learn why, when facing Open Banking regulation and rapidly increasing transaction volumes, Nationwide decided to take load off their back-end systems through real-time streaming of data changes into Apache Kafka®.

In this session, we'll compare the two approaches to data integration and show how Dataflow allows you to join and transform and deliver data streams among on-prem and cloud Apache Kafka clusters, Cloud Pub/Sub topics and a variety of databases.

Confluent KSQL is the streaming SQL engine that enables real-time data processing against Apache Kafka®. It provides an easy-to-use, yet powerful interactive SQL interface for stream processing on Kafka.

In diesem Webinar zeigen wir, wie Audi mithilfe von Kafka und Confluent eine Fast Data IoT-Plattform umgesetzt hat, die den Bereich "Connected Car“ revolutioniert.

Erfahren Sie in diesem Online Talk von unserem Kafka-Experten wie leicht man Apache Kafka und Confluent Platform auf Kubernetes.

In this session, we will cover the easiest ways to start developing event-driven applications with Apache Kafka using Confluent Platform.

This talk explores the benefits around cloud-native platforms and running Apache Kafka on Kubernetes, what kinds of workloads are best suited for this combination, and best practices.

Real-time data has value. But how do you quantify that value. This talk explores why valuing Kafka is important - but covers some of the problems in quantifying the value of a data infrastructure platform.

This online talk explores how Apache Druid and Apache Kafka® can turn a microservices ecosystem into a distributed real-time application with instant analytics.

This online talk is based on real-world experience of Kafka deployments and explores a collection of common mistakes that are made when running Kafka in production and some best practices to avoid them.

This interactive whiteboard presentation discusses use cases leveraging the Apache Kafka® open source ecosystem as an event streaming platform to process IoT data.

This talk discusses the key design concepts within Apache Kafka Connect and the pros and cons of standalone vs distributed deployment modes.

This talk provides a deep dive into the details of the rebalance protocol, starting from its original design in version 0.9 up to the latest improvements and future work.

Confluent Platform 5.3 ist GA und wir freuen uns über viele neue Funktionen. Wir sprechen unter anderem über den Confluent Operator (also Kafka auf Kubernetes), Ansible Playbooks und die neue UI des Confluent Control Centers.

This session shows how various sub-systems in Apache Kafka can be used to aggregate, integrate and attribute these signals into signatures of interest.

This online talk focuses on the key business drivers behind connecting to Kafka and introduces the new Confluent Verified Integrations Program. Part 1 of 2 in Building Kafka Connectors - The Why and How

This online talk dives into the new Verified Integrations Program and the integration requirements, the Connect API and sources and sinks that use Kafka Connect. Part 2 of 2 in Building Kafka Connectors - The Why and How

This talk showcases different use cases in automation and Industrial IoT (IIoT) where an event streaming platform adds business value.

Learn how Centene improved their ability to interact and engage with healthcare providers in real time with MongoDB and Confluent Platform.

This talk explains how companies are using event-driven architecture to transform their business and how Apache Kafka serves as the foundation for streaming data applications. Part 1 of 4 in our Fundamentals for Apache Kafka series

This session explains Apache Kafka’s internal design and architecture. Companies like LinkedIn are now sending more than 1 trillion messages per day to Apache Kafka. Part 2 of 4 in our Fundamentals for Apache Kafka series.

In diesem Webinar stellen wir die neuen Security-Komponenten (Role Based Access Control -RBAC und Secret Protection) von Confluent Platform live vor und gehen auch auf die Best Practices in diesem Umfeld ein.

Pick up best practices for developing applications that use Apache Kafka, beginning with a high level code overview for a basic producer and consumer.

This session will show you how to get streams of data into and out of Kafka with Kafka Connect and REST Proxy, maintain data formats and ensure compatibility with Schema Registry and Avro, and build real-time stream processing applications with Confluent KSQL and Kafka Streams.

In this technical deep dive, we’ll discuss the proposition of Incremental Cooperative Rebalancing as a way to alleviate stop-the-world and optimize rebalancing in Kafka APIs.

In this session, we will identify and demo some best practices for implementing a large scale IoT system that can stream MQTT messages to Apache Kafka.

Learn how AO.com are enabling real-time event-driven applications to improve customer experience using Confluent Platform.

This talk takes an in-depth look at how Apache Kafka® can be used to provide a common platform on which to build data infrastructure driving both real-time analytics as well as event-driven applications.

Join the Confluent Product team as we provide a technical overview of Confluent Platform 5.4, which delivers groundbreaking enhancements in the areas of security, disaster recovery and scalability.

In this online talk, Bosch’s Ralph Debusmann outlines their architectural vision for bringing many data streams into a single platform, surrounded by databases that can power complex real-time analytics.

During this online talk, presenters from Confluent and Qlik will demonstrate how to accelerate data delivery to enable real-time analytics, make data more valuable with real-time data ingestion to Kafka, modernize data centers by streaming data in real-time, and demo a customer use case for advanced analytics.

In this online talk, we introduce Apache Kafka® and the MongoDB connector for Kafka, and demonstrate a real world stock trading use case that joins heterogeneous data sources to find the moving average of securities using Apache Kafka and MongoDB.

Confluent Technology Evangelist Kai Waehner zeigt in diesem Online Talk die wichtigsten Änderungen in den Bereichen Sicherheit, Disaster Recovery und Skalierbarkeit.

Operating a complex distributed system such as Apache Kafka could be a lot of work. In this talk we will review common issues, and mitigation strategies, seen from the trenches helping teams around the globe with their Kafka infrastructure.

We explain how the microservice ecosystem around Apache Kafka was built to ensure the ability to build and deploy new streaming agents on AWS fast and with the least amount of operational effort possible, as well as some of the issues we found and worked around.

Die Bereitstellung und der Betrieb eines verteilten und skalierbaren Datensystems kann eine Herausforderung darstellen. Im ersten Teil der Deep Dive Sessions werfen wir einen detaillierten Blick auf die Centralized ACLs und Role Based Access Control, inklusive einer Live-Demo im Confluent Control Center (C3).

Industry 4.0 and smart manufacturing are driving the manufacturing industry to modernize their software infrastructure. This session will look at the unique business drivers for modernizing the manufacturing industry and how MQTT and Kafka can help make it a reality.

In this online talk, we’ll explore how and why companies are leveraging Confluent and MongoDB to modernize their architecture and leverage the scalability of the cloud and the velocity of streaming.

This reference architecture documents the MongoDB and Confluent integration including detailed tutorials for getting started with the integration, guidelines for deployment, and unique considerations to keep in mind when working with these two technologies.

Thomas Trepper, Training Delivery Manager EMEA, zeigt in diesem kurzen Webinar die Trainings-Optionen für Kafka-Entwickler und -Operator sowie die Möglichkeiten zur Zertifizierung. Alle Online-Trainings und Details findet ihr hier: https://www.confluent.io/training/

Robin discusses the role of Apache Kafka as the de facto standard streaming data processing platforms.

This session covers architectures best practises and recommendations for organisations aiming for a more cloud-centric approach in the use of Apache Kafka.

Spending time with many OEMs and suppliers as well as technology vendors in the IoT segment, Kai Waehner gives an overview on current challenges in the automotive industry and on a variety of use cases for event-driven architectures.

The Confluent event-streaming platform enables government organizations to unlock and repurpose their existing data for countless modern applications and use cases.

Damit agile Prozesse sowie Echtzeit-Entscheidungen möglich werden, ist eine Event-Streaming-Architektur zwingend erforderlich.

Learn how CDC (Change Data Capture) captures database transactions for ingest into Confluent Platform to enable real-time data pipelines.

This brief describes a solution for real-time data streaming with ScyllaDB's NoSQL database paired with Confluent Platform.

This brief describes a solution with Neo4js graph database and Confluent Platform.

This brief describes a modern data architecture with Kafka and MongoDB

This brief describes streaming data analysis and visualization accelerated by Kinetica's GPU in-memory technology, in partnership with Confluent.

This brief describes an end-to-end streaming analytics solution with Imply, Druid providing the data querying and visualizations and Kafka data streaming.

This brief describes a solution for data integration and replication in real time and continuously into Kafka, in partnership with HVR and Confluent.

This brief describes a modern datacenter to manage the velocity and variety of data with an event driven enterprise architecture with DataStax and Confluentj

This brief describes how to enable operational data flows with NoSQL and Kafka, in partnership with Couchbase and Confluent.

This brief describes a solution to efficiently prepare data streams for Kafka and Confluent with Qlik Data Integration for CDC Streaming.

This brief describes a comprehensive streaming analytics platform for visualizing real-time data with Altiar Panopticon and Confluent Platform.

Dive into full Kafka examples, with connector configurations and Kafka Streams code, that demonstrate different data formats and SerDes combinations for building event streaming pipelines.

Get the presentations from the Kafka Summit San Francisco 2019 event.

Ensure that only authorized clients have appropriate access to system resources by using RBAC with Kafka Connect.

This paper will guide developers who want to build an integration or connector and outlines the criteria used for Confluent to verify the integration.

Get the presentations from the Kafka Summit London 2019 event.

Get the presentations from the Kafka Summit New York 2019 event.

With its ViZixⓇ item chain management platform, Mojix is helping major retailers store, analyze and act on inventory data collected from IoT sensor streams in real time.

Download this bridge-to-cloud deployment guide for designing, configuring and managing streaming applications in Confluent Cloud.

Learn why organizations are considering Apache Kafka to streamline cloud migrations.

Alight Solutions, recently embarked on an initiative to align the company’s internal organization with its next-generation digital strategy.

Get the presentations from the Kafka Summit San Francisco 2018 event.

Hans Jespersen (VP WW Systems Engineering, Confluent) Opened afternoon presentations: Confluent Cloud: Agility for the modern data-driven enterprise at Confluent’s streaming event in Paris.

In this talk Gwen Shapira will break through the clutter and look at how successful companies are adopting centralized streaming platforms, and the use-cases and methodologies that we see practiced right now.

Use cases for streaming platforms vary from improving the customer experience - we have synthesized some common themes of streaming maturity and have identified five stages of adoption

Get key research stats on why CIOs are turning to streaming data for a competitive advantage.

In this paper, we introduce the Dual Streaming Model. The model presents the result of an operator as a stream of successive updates, which induces a duality of results and streams.

In this talk, we’ll explain the architectural reasoning for Apache Kafka® and the benefits of real-time integration, and we’ll build a streaming data pipeline using nothing but our bare hands, Kafka Connect and KSQL.

The reference architecture provides a detailed architecture for deploying Confluent Platform on Kubernetes and uses the Helm Charts for Confluent Platform as a reference to illustrate configuration and deployment practices.

Join The New York Times' Director of Engineering Boerge Svingen to learn how the innovative news giant of America transformed the way it sources content—all through the power of a real-time streaming platform.

Joe Beda, CTO of Heptio and co-creator of Kubernetes, and Gwen Shapira, principal data architect at Confluent, will help you decide if running Kafka on Kubernetes is the right approach for your organization.

The survey of the Apache Kafka community shows how and why companies are adopting streaming platforms to build event-driven architectures.

Download this whitepaper to learn about ksqlDB, one of the most critical components of Confluent, that enables you to build complete stream processing applications with just a few simple SQL queries.

In this white paper, we offer recommendations and best practices for designing data architectures that will work well with Confluent Cloud.

Learn Kubernetes terms, concepts and considerations, as well as best practices for deploying Apache Kafka on Kubernetes.

Originally presented by Gwen Shapira at Gluecon 2018, this talk covers the similarities and differences between the communication layer provided by a service mesh and Apache Kafka and their implementations, as well as ways you can combine them together.

Read this white paper to learn about the common use cases Confluent is seeing amongst its financial services customers.

Get the presentations from the Kafka Summit London 2018 event.

Get an introduction to and demo of KSQL, Streaming SQL for Apache Kafka.

This video offers an introduction to Kafka stream processing, with a focus on KSQL.

Wir zeigen, wie serviceorientierte Architekturen und Tools zur Datenstromverarbeitung wie Apache Kafka zur Entwicklung geschäftskritischer Systeme genutzt werden können.

Learn about the impact of Confluent and Apache Kafka® on Funding Circle’s lending marketplace, from Kafka Connect to Exactly-Once processing.

HomeAway, the world’s leading online marketplace for the vacation rental industry, uses Apache Kafka® and Confluent to match travelers with 2 million+ unique places to stay in 190 countries.

One of the largest banks in the world—with 16 million clients globally—RBC built a real-time, scalable and event-driven data architecture for their rapidly growing number of cloud, machine learning and AI initiatives.

In this white paper, you will learn how you can monitor your Apache Kafka deployments like a pro, the 7 common questions you'll need to answer, what requirements to look for in a monitoring solution and key advantages of the Confluent Control Center.