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Apache Kafka などのサービスベースのアーキテクチャやストリーミング処理ツールをビジネスに不可欠なシステムの構築に役立てる方法を確認しましょう。

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.

Apache Kafka などのサービスベースのアーキテクチャやストリーミング処理ツールをビジネスに不可欠なシステムの構築に役立てる方法を確認しましょう。

Il nostro eBook spiega come l’event streaming, una tecnologia emergente per l'analisi dei dati degli eventi in tempo reale, può aiutare le compagnie assicurative a competere con i colleghi dell’insuretech

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.

Este estudio de mercado de IDC analiza las principales conclusiones del Kafka Summit en Londres, que fue organizado por Confluent los días 25 y 26 de abril de 2022

Scopri come aumentare il fatturato e ridurre i costi, rendendo la tua infrastruttura dati più scalabile, affidabile e performante.

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

Il presente Report di IDC illustra i principali risultati del Kafka Summit svoltosi a Londra e ospitato da Confluent il 25 e 26 aprile 2022

Cette note de marché IDC aborde les principales conclusions du Kafka Summit de Londres, organisé par Confluent les 25 et 26 avril 2022.

こちらの Forrester の調査をダウンロードして Confluent Cloud の経済的メリットを確認しましょう。

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.

Si desea obtener más detalles sobre cómo Confluent Cloud acelera el desarrollo de aplicaciones, desbloquea a sus empleados y libera su presupuesto descargue el eBook técnico gratuito Utilizar Kafka en 2022: un servicio nativo de la nube

Si vous souhaitez savoir comment Confluent Cloud permet d'accélérer le développement d'applications, de dégager du temps à vos équipes et de récupérer du budget, téléchargez l'e-book technique Utiliser Kafka en 2022 – Un service cloud-native

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 2022

Se desideri ricevere maggiori informazioni su come Confluent Cloud accelera lo sviluppo delle applicazioni, sblocca le persone e libera il budget, scarica l'e-book tecnico gratuito Eseguire Kafka nel 2022: un servizio nativo su cloud o il briefing tecnico.

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.

Fit werden für die Welt der Echtzeit-Daten

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

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

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.

93% des organisations sont confrontées à des difficultés pour exploiter leurs données en temps réel. C’est ce que révèle l’étude menée par IDC en France auprès de 200 organisations privées et publiques, dont les résultats sont présentés dans ce document.

Dans cet Ebook, vous découvrirez comment le streaming d’évènements se met au service d’une nouvelle vision de la donnée.

Leggi lo studio Total Economic Impact™ di Forrester e scopri quanto puoi risparmiare con Confluent Cloud

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.

今日の顧客の高い期待に応え続けられる企業は、一貫して供給されるリアルタイムのイベントストリームと、継続的なリアルタイム処理を基盤に運営しています。このような企業のように躍動するデータを活用してさらなる成功へとつなげていきたい場合には、まずはここから始めましょう。

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とは、購入価格に運用コストを加えた総所有コストを指します。包括的なTCO評価には時間、マンパワーを始め、組織全体の長期的なコストを織り込む必要があります。オープンソースとSaaSはよく比較されますが、その際、オープンソースが「無料」だという主張、自社ソフトウェアが TCO 削減や ROI 改善に寄与するというベンダーの主張が挙げられます。ただ、このような主張はどんな前提でなされているのでしょう。また、推定の確度はどうでしょうか。本ホワイトペーパーでは、使用モデル、アプローチや顧客事例を概説し、知見を共有しつつ、Confluent Cloud に対するこのようなご質問にお答えします。

本ホワイトペーパーでは、Confluent Platform の基盤である Apache Kafka の基本コンセプトを探り、従来のメッセージ指向ミドルウェアと比較いたします。

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.

リアルタイムのカスタマーデータの力を引き出す

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.

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

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

Se você também quer ganhar dinheiro com dados em movimento, basta escolher por onde começar. O e-book "Coloque seus dados em movimento com o Confluent e o Apache Kafka®" pode ajudar a iluminar o caminho.

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.

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.

Su empresa necesita acceso a datos en movimiento. Las compañías que tienen más éxito a la hora de satisfacer las expectativas exigentes de los clientes de la actualidad operan con una oferta constante de flujos de eventos en tiempo real y procesamiento continuo en tiempo real.

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.

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

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.

Dans ce livre électronique gratuit, vous découvrirez trois cas d'utilisation clés du streaming d'événements par les compagnies d'assurance

Dans ce livre électronique gratuit, vous découvrirez trois utilisations cruciales du streaming d’événements pour le commerce de détail.

Pour en savoir plus sur la façon dont le streaming d’événements permet d’accroître l’engagement des clients, l’automatisation de l’intelligence artificielle, l’analyse en temps réel et plus encore, téléchargez ce livre électronique gratuit sur Confluent.

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.

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

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.

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.

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.

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

Ce livre électronique explique comment les établissements financiers peuvent utiliser Google Cloud avec le streaming d’événements de Confluent pour construire une base numérique permettant de transformer l’expérience client, d’accroître l’efficacité et d’accélérer la croissance.

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.

Este informe técnico ofrece respuestas a estas preguntas para Confluent Cloud, esbozando nuestro enfoque respecto al TCO y el ROI, compartiendo ejemplos explícitos de clientes y aportando las lecciones aprendidas por el camino.

En confiant l'infrastructure et les opérations Kafka à un service entièrement géré tel que Confluent Cloud, vous permettez à vos meilleurs éléments de se concentrer sur des projets plus essentiels et vous économisez de l'argent.

Questo white paper risponde a queste domande per Confluent Cloud descrivendo il nostro approccio al TCO e al ROI, condividendo esempi espliciti di clienti e fornendo le lezioni apprese lungo il percorso.

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.

Confluent の CEO であり、Apache Kafka を生んだ開発者チームの一員でもある Jay Kreps が、分散型システムにおけるログの働きとこうした概念の実際の用途について説明します。

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

Ce livre électronique explique comment les assureurs peuvent utiliser Google Cloud et le streaming d’événements de Confluent pour créer une expérience d’assurance moderne tout en maîtrisant les coûts et les risques.

Ce livre électronique explique comment les commerces peuvent utiliser Google Cloud avec la plateforme complète de streaming d’événements de Confluent pour Apache Kafka.

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

Wie Now-Marketing die Zukunft des Marketings und Vertriebs verändert

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

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.

Découvrez le retour d'IDC sur Confluent Platform 6.0 ici, et retrouvez-y le point de vue d'IDC sur l'importance du streaming d'événements pour les entreprises d'aujourd'hui.

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.

Dans ce livre électronique, nous vous présentons cinq cas d'utilisation couramment traités avec Confluent, avec des exemples concrets de clients et des idées sur la façon dont votre organisation peut réaliser cette transformation.

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.

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.

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.

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.

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.

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.

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

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.

Dans ce livre électronique, vous découvrirez la courbe d'adoption du streaming d'événements ainsi que la meilleure façon de stimuler son adoption et d'implémenter ce changement au sein de votre organisation.

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.

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

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

Dans ce livre électronique, vous découvrirez le potentiel stratégique immense que le streaming d'événements offre aux entreprises commerciales de toutes sortes.

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.

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.

La perspectiva de IDC sobre Confluent Platform 6.0 está aquí, y en ella, puede leer la perspectiva de IDC sobre la importancia de la transmisión de eventos para las empresas hoy en día, así como las principales recomendaciones, acciones y aspectos destacados de Confluent Platform 6.0.

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.

Videoentrevista a Paco Molero, Country Leader Confluent Spain & Portugal, en ocasión del CIO Summit Madird 2022. ¿Qué ofrece Confluent a las empresas del mercado Español? ¿Porqué una empresa tiene que confiar en Confluent para llevar a cabo una estrategia de datos?

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!

Anfang März 2021 wurde bekannt, dass die Bundesregierung zur Bekämpfung der Corona-Pandemie, neben der Impfstrategie, verstärkt auf die Bürgertestung durch zertifizierte Corona-Schnelltest setzen wird. In diesem Zuge ist in Rekordzeit das Projekt dm Schnelltestzentren entstanden.

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.

Ihr habt Apache Kafka on-prem laufen und möchtet es jetzt nutzen, um Daten nach AWS, GCP oder Azure zu replizieren? Oder ihr möchtet eure Confluent Installation in die Cloud heben? Ein Cloud-natives Rechenzentrum ist euer Ziel? Dann zeigen wir euch in diesem Webinar gerne, wie dies funktioniert.

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.

데이터 메시(Data mesh)는 현대적인 데이터 시스템을 유지하는 일련의 원칙을 설명하는 용어입니다. 데이터 중심의 세계를 위한 일종의 “마이크로서비스(microservices)”입니다. 데이터 메시는 기술 패턴으로 특정 기술에 국한되지 않습니다, 데이터 메시 원칙을 채택하고 다양한 방식으로 구현되고 구축된 시스템은 비교적 오랜 역사를 가지고 있습니다.

본 웨비나는 개발자가 Kafka를 이용해 스트리밍 데이터 매시를 구현할 때 알아야 할 권장 사항과 방법을 소개할 예정입니다.

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

Kafka Cluster を簡単に作成し、ksqlDB などのすぐに使えるコンポーネントでイベントストリーミングアプリケーションをスピーディに開発する方法を Kafka を知り尽くしたエキスパートが30分間のセッションで説明します。

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.

Anhand unseres Beispiels aus der Praxis stellen Microsoft und Confluent vor, welche Vorteile innovatives Echtzeit Daten-Streaming in der Cloud eurem Unternehmen bieten kann.

Hopp Hopp, ab in die Cloud - Wie Daten-Streaming die Migration in die Cloud schneller und effizienter macht

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.

Confluent has rearchitected Apache Kafka for AWS to help get your data securely to the cloud in real time. Learn what helps enterprises accelerate migrations and application development to power new real-time experiences.

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.

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.

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.

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.

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!

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.

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.

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

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

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.

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.

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

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.

Simplifiez l’ingestion, l’intégration et le traitement des données sur votre cloud préféré grâce à une plateforme complète.

Confluent permet de connecter facilement vos données en temps réel

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.

Diego Daniele - Regional Sales Director Italy & Greece - presenta come Confluent grazie al proprio offering Clound-Native abilita le organizzazione a mettere i propri dati “in motion”.

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.

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.

Il est fort probable que des services entièrement gérés dans le Cloud tels que S3, DynamoDB ou Redshift soient déjà utilisés au sein de l'entreprise. Il est maintenant temps de mettre en œuvre la gestion intégrale pour Kafka également - avec Confluent Cloud sur AWS.

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.

データのストリーミングについて学びたい方のための特別なイベント、Kafka Summit 2020 の録画やスライドを視聴できます。

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

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.

データのストリーミングについて学びたい方のための特別なイベント、Kafka Summit 2020 の録画やスライドを視聴できます。

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!

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.

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

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

L'objectif est de vous présenter comment vous pouvez mettre en place d'une façon moderne des stratégies d'évent streaming en profitant ou en capitalisant des approches cloud déjà en place.

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.

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.

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

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?

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.

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.

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

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

データのストリーミングについて学びたい方のための特別なイベント、Kafka Summit 2020 の録画やスライドを視聴できます。

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

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.

Los Data Lakes se han utilizado para almacenar información histórica proveniente de diversos sistemas y estructurados en formato Raw, para luego, en base a diferentes tratamientos (SQL, ETLs, etc), podamos sacar el mayor provecho posible a los datos.

Si quieres que tu organización aproveche todo el valor de las arquitecturas “event driven”, no basta con integrar Apache Kafka® y esperar a que la gente se una a la fiesta.

En está sesión aprendemos porqué Confluent va más allá de ser simplemente un Apache Kafka on Steroids a ser una plataforma.

Libérer la donnée avec un traitement au fil de l’eau est une nécessité. Se focaliser sur les projets est essentiel. Venez découvrir pourquoi Confluent Cloud est la seule solution Kafka Cloud-Native qui vous permet d’utiliser Kafka à la vitesse de la donnée.