Resources

Why an event-driven data mesh built on Apache Kafka provides the best way to access important business data and unify the operational and analytical planes.

In this IDC Tech Brief, we share our research on streaming data platforms, and the advantages they’re bringing for innovation, improved operational efficiency, ROI, and more.

An overview of Confluent’s Core Product Pillars.

Learn how service-based architectures and stream processing tools such as Apache Kafka can help you build business-critical systems.

Modern customers crave personalization. How do banks deliver on it? By leveraging real-time data—enabled by data streaming platforms—to unlock powerful customer experiences.

How Sainsbury’s is revolutionizing its supply chain with real time data streaming from Confluent.

This whitepaper describes some of the financial businesses that rely on Confluent and the game-changing business outcomes that can be realized by using data streaming technology

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

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.

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.

The modern world is defined by speed. Grocery delivery, rideshare apps, and payments for just about anything can happen instantly using a mobile device and its apps. Every action of every consumer creates data, and businesses must make sense of it quickly to take advantage in real time.

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

In this ebook, you’ll get a look at five of the common use cases when getting started with data streaming, with real-world customer examples and insights into how your organization can make the leap.

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

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

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

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.

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.

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

To learn more about how you can implement a real-time data platform that connects all parts of your global business, download this free Confluent hybrid and multicloud reference architecture.

Check out IDC’s findings on why & how building resiliency matters in the face of near-constant disruption. To build resiliency, businesses should focus on one key area: their data.

Find out more in IDC’s From Data at Rest to Data in Motion: A Shift to Continuous Delivery of Value.

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.

This IDC Market Note discusses the main takeaways from the 2022 Kafka Summit in London, hosted by Confluent.

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

The companies most successful in meeting the demanding expectations of today’s customers are running on top of a constant supply of real-time event streams and continuous real-time processing. If you aspire to join the ranks of those capitalizing on data in motion, this is the place to start.

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

The companies most successful in meeting the demanding expectations of today’s customers are running on top of a constant supply of real-time event streams and continuous real-time processing. If you aspire to join the ranks of those capitalizing on data in motion, this is the place to start.

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.

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.

In this paper, we explore some of the fundamental concepts of Apache Kafka, the foundation of Confluent Platform, and compare it to traditional message-oriented middleware.

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.

In this eBook from Confluent and AWS, discover when and how to deploy Apache Kafka on your enterprise to harness your data, respond in real-time, and make faster, more informed decisions.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Banks and financial institutions are looking toward a future in which most business is transacted digitally. They’re adding new, always-on digital services, using artificial intelligence (AI) to power a new class of real-time applications, and automating back-office processes.

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...

Learn about the components of Confluent Enterprise, key considerations for production deployments, and guidelines for selecting hardware or deployment with different cloud providers.

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, 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.

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.

Jay Kreps, CEO of Confluent and co-creator of Apache Kafka, shows how logs work in distributed systems, and provides practical applications of these concepts.

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

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

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.

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

This whitepaper discusses how to optimize your Apache Kafka deployment for various services goals including throughput, latency, durability and availability. It is intended for Kafka administrators and developers planning to deploy Kafka in production.

A practical guide to configuring multiple Apache Kafka clusters so that if a disaster scenario strikes, you have a plan for failover, failback, and ultimately successful recovery.

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

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.

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.

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.

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

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.

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

This paper provides 10 principles for streaming services, a list of items to be mindful of when designing and building a microservices system

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.

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.

This white paper outlines the integration of Confluent Enterprise with the Microsoft Azure Cloud Platform.

This brief describes a modern data architecture with Kafka and MongoDB

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

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

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

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

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

In this book, O’Reilly author Martin Kleppmann shows you how stream processing can make your data processing systems more flexible and less complex.

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

Confluent Cloud is the industry's only cloud-native, fully managed event streaming platform powered by Apache Kafka.

Best practices for developing a connector using Kafka Connect APIs.

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

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

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.

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

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.

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.

In this three-day hands-on course, you will learn how to build, manage, and monitor clusters using industry best-practices developed by the world’s foremost Apache Kafka experts.

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.

Businesses are discovering that they can create new business opportunities as well as make their existing operations more efficient using real-time data at scale. Learn how real-time data streams is revolutionizing your business.

This survey focuses on why and how companies are using Apache Kafka and streaming data and the impact it has on their business.

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

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

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.

This white paper provides a brief overview of how microservices can be built in the Apache Kafka ecosystem.

Learn how to take full advantage of Apache Kafka®, the distributed, publish-subscribe queue for handling real-time data feeds.

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.

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 three-day hands-on course you will learn how to build an application that can publish data to, and subscribe to data from, an Apache Kafka cluster.

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

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.

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

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

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.

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

An overview of the enterprise-ready event streaming platform.

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

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

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.

In this three-part series, you’ll get 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.

Join this webinar to learn how Confluent Cloud relieves these operational considerations with infinite storage for Kafka that’s 10x more scalable and high-performing.

This demo will showcase how to use Confluent as a streaming data pipeline between operational databases. We’ll walk through an example of how to connect data and capture change data in real-time from a legacy database such as Oracle to a modern cloud-native database like MongoDB using Confluent.

This fireside chat will cover Suman’s learnings from implementing 2 critical use cases at Walmart that continue to play a critical role in customer satisfaction: real-time inventory and real-time replenishment.

Tune in to hear Suman share best practices for building real-time use-cases in retail!

Modernize your database and move to the cloud by connecting multicloud and hybrid data to Amazon Aurora in real time.

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

In this three-part series, you’ll get 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.

This fireside chat will cover Suman’s learnings from implementing 2 critical use cases at Walmart that continue to play a critical role in customer satisfaction: real-time inventory and real-time replenishment.

Tune in to hear Suman share best practices for building real-time use-cases in retail!

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

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

This fireside chat will cover Suman’s learnings from implementing 2 critical use cases at Walmart that continue to play a critical role in customer satisfaction: real-time inventory and real-time replenishment.

Tune in to hear Suman share best practices for building real-time use-cases in retail!

Raiffeisen International bank is scaling an event-driven architecture across the group as part of a bank wide transformation program. As technology and architecture leader RBI plays a key role in banking in CEE which will be shared with the audience in this webinar.

This webinar will walk through a story of a Bank who uses an Oracle database to store sensitive customer information and RabbitMQ as the message broker for credit card transaction events.

Kafka is a platform used to collect, store, and process streams of data at scale, with numerous use cases. Join us in this live, interactive session, to learn more about Apache Kafka.

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.

This webinar will cover the operational use case and learnings from SecurityScorecard’s journey from batch to streaming data pipelines with Confluent.

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.

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 session, we'll explore how Confluent helps companies modernize their database strategy with Confluent Cloud and modern Azure Data Services like Cosmos DB. Confluent accelerates getting data to the cloud and reduces costs by implementing a central-pipeline architecture using Apache Kafka.

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

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.

Many organizations have data locked away in their on-premises data center, making it impossible to take full advantage of modern cloud services. In this session, you’ll learn how to stream your on-prem data to the cloud in near real time.

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

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!

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.

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.

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.

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.

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.

Providing a seamless digital experience is what our customers have come to expect. As we step into 2022, our businesses are being challenged to evolve even further to maintain that competitive edge.

Kai Waehner, Field CTO at Confluent, will deliver his predictions on the hottest and most important data in motion use cases for 2022.

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!

Confluent hosted a technical thought leadership session to discuss how leading organisations move to real-time architecture to support business growth and enhance customer experience.

To help organisations understand how data in motion can transform business, Watch ‘The Strategic Importance of Data in Motion’ hosted by Tech UK.

In this online talk, we will answer the question, 'How much can we do with Kafka in 30 minutes of coding?'

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!

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.

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

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.

Listen to this On-Demand online talk to hear how BT's digital strategy is becoming an event-driven business.

The world is changing! Organisations are now more globally integrated than ever before and new problems need to be solved. As systems scale and migrate into the cloud, those seeking to infiltrate enterprise systems are presented with new and more frequent opportunities to succeed.

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.

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 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).

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.

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.

Your data streaming platform needs to be truly elastic to match with customer demand. It should scale up with your business’s peak traffic, and back down as demand shrinks.

You’ll walk away with an understanding of how to modernize your SIEM architecture for higher throughput, lower latency, and more cost efficiency. You’ll also be able to run the demo and explore a series of hands-on labs for yourself and dig into the technical details.

Learn how companies will leverage event-driven data streaming, Apache Kafka, Confluent, and other tools to meet the demands of real-time markets, increased regulations, heightened customer expectations, and much more.

How do you mobilize your data securely and cost effectively to power a global business in real time?

In this session, we'll explore how to build a serverless, event-driven architectures by using AWS Lambda with Kafka. We'll discuss how event-based compute like Lambda can be used to decrease the complexity of running, scaling, and operating stream-based architectures when building new applications.

We’ll discuss the challenges Storyblocks attempted to overcome with their monolithic apps and REST API architecture as the business grew rapidly, and the advantages they gained from using Confluent Event-driven architecture to power their mission-critical microservices.

In this session we will discuss how Apache Kafka has become the de facto standard for event driven architecture, its community support and the scale at which some customers are running it.

In this demo, we’ll show you how to modernize your database and move to the cloud by connecting multi-cloud and hybrid data to Google Cloud SQL in real time.

In this demo, we will show you how to connect on-premises and multi-cloud data to Azure Cosmos DB, process that data in a stream before it reaches Azure Cosmos DB, and connect your Azure Cosmos DB data to any application.

In this demo, we’ll walk through how you can start building a persistent pipeline for continuous migration from a legacy database to a modern, cloud database. You’ll see how to use Confluent and Amazon Aurora to create a bridge across your Amazon cloud and on-prem environments.

Get the presentations from the Kafka Summit London 2018 event.

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.

The Cloud - as we all know - offers the perfect solution to many challenges. Many organisations are already using fully-managed cloud services such as AWS S3, DynamoDB, or Redshift. This creates an opportunity to implement fully-managed Kafka with ease using Confluent Cloud on AWS.

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

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.

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.

In this 30-minute session, top Kafka experts will show everything for quickly getting started with real-time data movement ranging from on-demand cluster creation and data generation through to real-time stream processing and account management.

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.

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.

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

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

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.

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.

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.

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.

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 Amazon Redshift, powering real-time analysis while reducing total cost of ownership and time to value.

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 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.

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...

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.

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.

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.

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.

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.

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.

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

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 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.

View the recordings and slides from Kafka Summit Americas 2021.

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.

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

View the recordings and slides from Kafka Summit APAC 2021.

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.

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.

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

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.

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.

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

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

Join Confluent and Imply at this joint webinar to explore and learn the use cases about how Apache Kafka® integrates with Imply to bring in data-in-motion and real-time analytics to life.

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.

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.

In the world that real time analytics, cloud, event streaming and Kafka are hot topics, how does “Data In Motion” come into play? What are the core ideas behind and why is it a big deal to companies that are going through digital transformation?

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

View the recordings and slides from Kafka Summit Europe 2021.

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.

View the recordings and slides from Kafka Summit 2020, the premier event for those who want to learn about streaming data.

A l’issu de ce talk vous saurez: • Mettre des mots sur les difficultés fondamentales de nos systèmes • Déterminer le rôle du streaming dans vos architecture • Présenter des cas d’usages concrets dans l’usage du streaming

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.

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.

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

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

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.

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.

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

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.

Neha Narkhede explains how Apache Kafka was designed to support capturing and processing distributed data streams by building up the basic primitives needed for a stream processing system.

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

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.

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.

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.

Recording from QCon New York 2017 Gwen Shapira discusses patterns of schema design, schema storage and schema evolution that help development teams build better contracts through better collaboration - and deliver resilient applications faster.

In this talk, I'll describe some of the design tradeoffs when building microservices, and how Apache Kafka's powerful abstractions can help.

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

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.

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.

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?

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

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

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

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.

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.

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.

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

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.

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

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.

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.

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.

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.

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

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.

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

Kafka has a set of new features supporting idempotence and transactional writes that support building real-time applications with exactly-once semantics. This talk provides an overview of these features.

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

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

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 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.

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

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.

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

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.

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.

Get the presentations from the Kafka Summit London 2019 event.

In this video, Tim Berglund explains how you can speed up development with the Confluent Command Line Interface (CLI), which allows you to quickly iterate while implementing your applications and enables you to interact with the Confluent ecosystem.

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.

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.

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

In this talk we'll examine how Stateful Stream Processing can be used to build Event Driven Services, using a distributed log like Apache Kafka. In doing so this Data-Dichotomy is balanced with an architecture that exhibits demonstrably better scaling properties, be it increased complexity, team size, data volume or velocity.

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.

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.

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

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 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.

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.

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

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.

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.

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®.

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!

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

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.

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.

Michael Noll provides an introduction to stream processing, use cases, and Apache Kafka.

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.

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

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.

What is microservices? And how does it work in the Apache Kafka ecosystem.

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.

In this talk, Matt Howlett will give a technical overview of Kafka, discuss some typical use cases (from surge pricing to fraud detection to web analytics) and show you how to use Kafka from within your C#/.NET 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.

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.

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

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.

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

Get the presentations from the Kafka Summit San Francisco 2017 event.

In this talk, get a short introduction to common approaches and architectures (lambda, kappa) for streaming processing and learn how to use open-source steam processing tools (Flink, Kafka Streams, Hazelcast Jet) for stream processing.

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.

Presentation from Apache Kafka Meetup at Strata San Jose (3/14/17). Jay Kreps will introduce Kafka and explain why it has become the de facto standard for streaming data.

Get the presentations from the Kafka Summit London 2018 event.

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.

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.

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.

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.