リソース

Apache Kafka などのイベントドリブン型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、最新の革新的なユースケースの実現につなげる方法を確認しましょう。

Should you spend time self-managing open source technologies such as Apache Kafka® (build), or invest in a managed service (buy)? Let’s evaluate!

Kafka management becomes risky and costly as it scales. Learn why Confluent reinvented Kafka as a cloud service for over 10X more elasticity, storage, and resiliency.

Apache Kafka などのイベントドリブン型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、最新の革新的なユースケースの実現につなげる方法を確認しましょう。

Modern fraud technology calls for a modern fraud detection approach, and that requires real-time data. Industry leaders from Capital One, RBC, and more are detecting fraud using data streaming to protect customers in real time.

Taking Kafka to the cloud? Learn 3 best practices for building a cloud-native system that makes data streaming scalable, reliable, and cost-effective.

Our latest eBook explores legacy data pipelines challenges—and how streaming pipelines and existing tech partners can help you optimize how data flows through your company, and make it more accessible throughout your organization.

Processing large amounts of data is challenging due to cost, physical size, efficiency, and availability limitations most companies face. A scalable and highly-available back-end system such as Confluent can efficiently process your company’s ever-growing volume of data.

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.

Collaborando con Confluent, BMW può usufruire di una piattaforma di streaming dei dati in grado di migliorare l'uso interno di Kafka e di supportare l'innovazione continua.

Con l'aiuto della piattaforma fully-managed e cloud-native di Confluent, Michelin è riuscita a scalare il suo sistema di inventario in real-time per soddisfare la domanda globale tagliando i costi operativi del 35%.

Download the “Kafka In the Cloud: Why It’s 10x Better With Confluent” ebook to take a deep dive into how Confluent harnessed the power of the cloud to build a data streaming platform that’s 10x better than Apache Kafka, so you can leave your Kafka management woes behind.

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。

従来型メッセージングミドルウェアの課題、イノベーションの阻害、大規模なフォールトトレランスの低さ、分析へのデータ活用の制限となる一時的な永続性、技術的負債と運用コストの増大について説明します。

In this white paper, we provide a holistic overview of an active-passive multi-region DR solution based on the capabilities of Confluent Cloud, the only fully managed, cloud-native service for Apache Kafka.

In our ebook “Putting Fraud In Context”, we explore the complexities of fraud detection, why current detection tools often fall short and how Confluent can help.

Download the “Transform Your Data Pipelines, Transform Your Business: 3 Ways to Get Started” ebook to take a deep dive into the challenges associated with legacy data pipelines and how streaming pipelines can help you reinvent the way data flows through—and is accessed—in your organization.

Confluent can help you build data streaming pipelines that allow you to connect, process, and govern any data stream for any data warehouse.

Nel nostro ebook "Dare un contesto alle frodi" esploriamo quanto sia complesso individuare le frodi, perché gli attuali strumenti di rilevamento spesso non sono all'altezza.

Conoscere nel dettaglio le sfide associate alle pipeline di dati legacy e per sapere come le pipeline di streaming possono aiutarti a reinventare l'accesso ai dati e i loro flussi nell'organizzazione.

Abbiamo stilato una checklist con 5 azioni consigliate per garantire l'integrità dei dati al fine di individuare le frodi e tenere testa ai possibili attacchi.

Ventana Research finds that more than nine in ten organizations place a high priority on speeding the flow of data across their business and improving the responsiveness of their organizations. This is where Confluent comes in.

This white paper unpacks the true costs of open source Kafka and MSK and demonstrates the value you can realize using Confluent.

Many businesses are using streaming data in some form—but not necessarily effectively. As the volume and variety of data streams increases, data and analytics leaders should evaluate the design patterns, architectures, and vendors involved in data streaming technology to find relevant opportunities.

Read GigaOm’s ease-of-use study on self-managed Apache Kafka® and fully managed Confluent Cloud. See how Confluent accelerates and streamlines development.

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.

Scoprire nel dettaglio come Confluent ha saputo sfruttare la potenza del cloud per creare una piattaforma di streaming dei dati che è 10 volte meglio di Apache Kafka, con cui puoi dire finalmente addio alle tradizionali difficoltà di gestione.

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

Wer mehr über Event-Streaming erfahren und wissen möchten, wie damit höhere Kundenbindung, KI-Automatisierung, Echtzeitanalytik und vieles mehr möglich werden, kann dieses kostenlose E-Book von Confluent herunterladen.

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 "Kafka-Nutzung im Jahr 2022" herunterladen.

Learn how Confluent can simplify and accelerate your migration to Amazon Aurora

Confluent is 10X better than Apache Kafka so you can cost-effectively build real-time applications on Google Cloud

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。

Confluent is 10X better than Apache Kafka so you can cost-effectively build real-time applications on Microsoft Azure.

Die Studienergebnisse zeigen, dass es noch immer sehr viele monolithische Bestandssysteme im operativen Betrieb in den Unternehmen gibt

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

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.

An overview of Confluent’s Core Product Pillars.

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

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.

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

Scarica la scheda tecnica per scoprire come Confluent aiuta le aziende a fare di più grazie ai dati in movimento.

Scoprirai inoltre in che modo altri clienti di Confluent, come KeyBank e Nuuly, stanno trasformando la propria azienda grazie alla Data in Motion

Se ti interessa andare oltre il middleware di messaggistica obsoleto e vuoi saperne di più, scarica il white paper.

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.

Questo rapporto illustra come utilizzare lo streaming di eventi per elaborare, archiviare, analizzare e agire su dati storici e in tempo reale da un’unica posizione.

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

Lo studio di IDC rileva che la tecnologia che supporta lo streaming di dati in tempo reale è molto richiesta, soprattutto a causa della carenza di competenze e per via di enormi volumi di dati. Le soluzioni gestite sono ormai sempre più popolari.

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

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.

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

Scarica il white paper e scoprirai in che modo le tecnologie di streaming dei dati stanno influenzando il settore dei servizi finanziari odierno.

Laut dieser Studie nehmen 44 % der Unternehmen einen höheren Aufwand für Wartung und Betrieb in Kauf, weil mindestens die Hälfte der Bestandssysteme “schon lange” im produktiven Einsatz sind.

Scopri come e perché il data fabric può diventare un’ottima soluzione per la tua organizzazione.

In diesem Whitepaper zeigen wir, wie Innovation von IT-Infrastrukturen in Unternehmen vorangetrieben und Daten aus Legacy-Systemen in Echtzeit verfügbar gemacht werden können.

This Ventana Research Analyst Perspective explains why organizations have to manage and govern data streaming projects alongside data at rest.

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

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.

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.

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.

Fit werden für die Welt der Echtzeit-Daten

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。

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

This webinar explores the state of data streaming for the Telecom Sector:

• how data streaming provides the ability to integrate and correlate data in real time at any scale across telco projects
• which enterprise architectures are trending in the telco industry globally

Learn the benefits of data mesh, how to best scale your data architecture, empower real-time data governance, and best practices from experts at Confluent and Microsoft.

Join us for a unique insider look into the complex world of fraud mitigation in banking. In this session, you will learn how Spain’s leading digital bank, Evo Banco, is paving the way in predictive fraud detection with data streaming and machine learning.

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.

アプリケーションアーキテクチャは、モノリシックなエンタープライズシステムから柔軟でスケーラブルなイベントドリブン型アプローチへと移行しています。マイクロサービスの時代の到来です。

この2部構成のシリーズでは、Kafka の概要や用途に加え、可用性に優れ、レジリエントで高度にスケーラブルなリアルタイムストリーミングプラットフォームを実現するその主要コンセプトを学びます。

In this workshop session, you will follow along with an instructor as you walk through the design, build, and implementation process with a simple, hypothetical application using Confluent Cloud.

What is data mesh and why is it gaining rapid traction among data teams?

Join us on May 17 to talk with Michele Goetz, VP, Principal Analyst at Forrester and Raiffeisen Bank International for a deep dive.

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.

Learn how Confluent helps you manage Apache Kafka® — without its complexity.

Join Confluent for the opportunity to hear from customers, network with your peers and ecosystem partners, learn from Kafka experts, and roll up your sleeves with interactive demonstrations.

In this hands-on session with Q&A, you’ll learn how to build streaming data pipelines to connect, process, and govern real-time data flows for cloud databases. The demo shows a FinServ company using streaming pipelines for real-time fraud detection.

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

In this webinar, we’ll walk through how you can start immediately migrating to Amazon Redshift across on-prem and cloud environments using Confluent, our ecosystem of pre-built connectors, and ksqlDB for real-time data processing.

データストリーミングプラットフォームには、顧客の需要に合わせられる真の弾力性が求められます。ビジネスのピークトラフィックに合わせてスケールアップし、需要が縮小するにつれてスケールダウンする必要があります。

During this webinar, Rishi Doerga, Senior Solutions Engineer at Confluent, discusses how event streaming can help modernize your applications, enabling you to become more agile, innovative, and responsive to your customer's needs.

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

今やマイクロサービスは、企業内システムを構築する上で主要なアーキテクチャパラダイムとなっていますが、トレードオフがないわけではありません。

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。

Join us to hear how Confluent enables our customers to use real-time data processing against Apache Kafka®, leverage easy-to-use yet powerful interactive interfaces for stream processing, and build integration pipelines without needing to write code.

From batch to real time—learn about and see a demo on how to build streaming pipelines with CDC to stream and process data in real time, from an on-prem Oracle DB and cloud PostgreSQL to Snowflake.

This webinar explores the state of data streaming for the Financial Services Industry:

• What disruptive trends in financial services are driving the pace of innovation
• How data streaming provides the ability to integrate and correlate data in real-time at any scale.

This webinar explores the state of data streaming for the Retail Industry:

• How data streaming provides the ability to integrate and correlate data in real-time at any scale.
• Which enterprise architectures are trending in the retail industry globally

This webinar explores the state of data streaming for the Manufacturing Industry:

• How data streaming provides the ability to integrate and correlate data in real-time at any scale
• Which enterprise architectures are trending in the manufacturing industry globally

In this hands-on session, you’ll learn how to integrate your IBM mainframe with Confluent in order to unlock Z System data for use in real-time, cloud-native applications.

Partners Tech Talks are webinars where subject matter experts from a Partner talk about a specific use case or project. The goal of Tech Talks is to provide best practices and applications insights, along with inspiration, and help you stay up to date about innovations in confluent ecosystem.

Join this webinar to see how the legacy of traditional implementations still impacts microservice architectures today.

Watch this webinar and transform your data pipeline processes.

In this hands-on session with live Q&A, you’ll learn how to build streaming data pipelines to connect, process, and govern real-time data flows for data warehouses. The demo shows an e-commerce company using streaming pipelines for customer 360.

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

In this session, you'll learn how to create a real-time fraud detection solution in Confluent. The demo will illustrate an "account takeover" scenario to show in-stream detection and analysis of compromised account activity.

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

Customers expect businesses to respond to both their implicit and explicit cues instantaneously. Gone are the days when a business could run a batch process overnight to analyze customer orders, preferences, app downloads, page views, and clicks. They must now respond in real time.

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.

En este Webinar podrás aprender acerca de los datos de tu AS400 en tiempo real (<1 seg) sin afectar a la operación. Lograrás extraer los datos de tu operacional y analizarlos para tomar decisiones. Así mismo, te mostraremos cómo alcanzar una reducción de consumo de Mips en el procesamiento del dato.

Data platform ou catalogue de service au Crédit Agricole : comment maintenir une offre data cohérente au sein de la 10ème banque mondiale ?

Comment Adéo accélère le partage des données en temps réel, pour optimiser les processus métier

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.

Confluent Infinite Storage allows you to store data in your Kafka cluster indefinitely, opening up new use cases and simplifying your architecture. This hands-on workshop will show you how to achieve real-time and historical processing with a single data streaming platform.

In this webinar, we present a conceptual model for how to think strategically about data mesh: What is it? When to consider it for your business?

Watch this webinar to find out how a data mesh can bring much-needed order to a system in both cases, resulting in a more mature, manageable, and evolvable data architecture.

See how Extend pairs Confluent's data streaming platform with AWS serverless services to build scalable data applications.

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

In this hands-on session you’ll learn about building trusted shared services with Confluent—a better way to allow safe and secure data sharing. We’ll show you how to enable trusted shared services through OAuth 2.0, role-based access control, and Cloud Client Quotas.

This event-driven microservices webinar will have refreshed messaging around how event-driven microservices is an important use case for Confluent. Maygol will walk through a brand-new demo exclusively focused on an event-driven microservices use case.

Confluent Infinite Storage allows you to store data in your Kafka cluster indefinitely, opening up new use cases and simplifying your architecture. This hands-on workshop will show you how to achieve real-time and historical processing with a single data streaming platform.

Learn how Apache Kafka® on Confluent Cloud streams massive data volumes to time series collections via the MongoDB Connector for Apache Kafka®.

Abstract : L'avenir du retail est fait de données, et il exige la capacité de traiter et d'utiliser les événements de données en temps réel. Découvrez les cas-d'usage phares de votre industrie.

Intégrez Confluent au coeur de la révolution Industrie 5.0 pour intégrer des sources de données variées à la fois OT et IT, centraliser, croiser et transformer ces sources au fil de l'eau et donc accélérer les prises de décision opérationnelles.

Learn the latest cost and time-saving data estate modernization best practices with Azure and 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.

In this session, you’ll learn how to accelerate your digital transformation using real-time data.

Confluent’s Stream Designer is a new visual canvas for rapidly building, testing, and deploying streaming data pipelines powered by Kafka.

Learn about the new key features in the Confluent Cloud Q1 2023 launch - Centralized Identity Management (OAuth), Enhanced RBAC, Client Quotas and more that enable you to build a secured shared services data streaming platform.

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.

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.

Every aspect of the financial services industry is undergoing some form of transformation. By leveraging the power of real-time data streaming, financial firms can drive personalized customer experiences, proactively mitigate cyber risk, and drive regulatory compliance.

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

Join Ryan James, Chief Data Officer of Vitality Group, to learn how Vitality Group future-proofed its event-driven microservices with Confluent and AWS

Modernizing your data warehouse doesn’t need to be long or complicated. In this webinar, we’ll walk through how you can start migrating to Databricks immediately across on-prem and cloud environments using Confluent, our ecosystem of pre-built connectors, and ksqlDB for real-time data processing.

Maygol will walk us through the new streaming data pipeline demo that showcases a finserv use case showcasing streaming data pipelines between Oracle database and RabbitMQ on-prem systems, to migrate data to MongoDB on the cloud.

See how Extend pairs Confluent's data streaming platform with AWS serverless services to build scalable data applications.

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.

In this hands-on session you’ll learn about Streaming Data Pipelines which is a better way to build real-time pipelines. The demo shows how an e-commerce company can use a Streaming Data Pipeline for real-time data warehousing.

Maygol will walk us through the new streaming data pipeline demo that showcases a finserv use case showcasing streaming data pipelines between Oracle database and RabbitMQ on-prem systems, to migrate data to MongoDB on the cloud.

Listen to this webinar to learn how Confluent Cloud enables your developer community.

In fast-moving businesses companies must quickly integrate Kafka in their workloads to respond to customers in real time. Confluent Cloud is a fully managed data streaming platform available everywhere you need it. Join us in these interactive sessions to learn more about Confluent Cloud.

Tune in to discover how you can avoid common mistakes that could set back your event-driven ambitions—and how Confluent’s fully managed platform can help get you where you need to be faster and with less operational headaches.

Listen to this webinar to earn how to build and deploy data pipelines faster while combining and enriching data in motion with Confluent & Azure Cosmos DB.

Listen back and view the presentations from the Data in Motion Tour 2022 - EMEA.

Data Streaming and Apache Kafka® are two of the world's most relevant and talked about technologies. With the buzz continuing to grow, join this webinar to hear predictions for the 'Top Five Use Cases & Architectures for Data In Motion in 2023'.

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.

Every aspect of the financial services industry is undergoing some form of transformation. By leveraging the power of real-time data streaming, financial firms can drive personalized customer experiences, proactively mitigate cyber risk, and drive regulatory compliance.

In this hands-on workshop, we’ll show you how to augment your existing SIEM and SOAR solutions to deliver contextually rich data, automate and orchestrate threat detection, reduce false positives, and transform the way you respond to threats and cyber attacks in real time.

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.

Register now to attend this informative online talk and discover Kai’s top five cutting-edge use cases and architectures that are at the forefront of real-time data streaming initiatives.

Join this demo to see how Confluent’s Stream Governance suite delivers a self-service experience that helps all your teams put data streams to work.

Join Jay Kreps for a deep dive into data streaming and real-time technology, share best practices and use cases, as well as explore the vision and future of data streaming. Data streaming is foundational to next-gen architecture.

Demand for fast results and decision-making has generated the need for real-time event streaming and processing of data adoption in financial institutions to be on the competitive edge. Apache Kafka® and the Confluent Platform are designed to solve the problems associated with traditional systems

Network Analytics in a Big Data World: Why telco networks and data mesh need to become one (and how data streaming can save the internet) with Swisscom, NTT, INSA Lyon, and Imply in a panel discussion with Field CTO Kai Waehner.

Heterogene Assets, lückenhafte Umgebungen und große Datenmengen sind Herausforderungen voll vernetzter Industrieumgebungen. Erfahren Sie, wie Sie diese Herausforderungen meistern und IT-Daten und Erkenntnisse durch den Einsatz von Cloud-Technologien verfügbar machen können.

Join this webinar to see how the legacy of traditional implementations still impacts microservice architectures today.

Developers can focus on building new features and applications, liberated from the operational burden of managing their own Kafka clusters. Join us in these interactive sessions to learn more about Confluent Cloud.

Pourquoi construire un modern data flow?

In today’s fast-paced digital world, customers want businesses to anticipate their needs in real time. To meet these heightened expectations, organizations are using Apache Kafka®, a modern, real-time data streaming platform.

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

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.

Join Noam Berman, Software Engineer at Wix, for an insight-packed webinar in which he discusses Wix's growing use of Apache Kafka® in recent years.

Découvrez comment construire une solution simple de gestion de flotte en utilisant Confluent Cloud, ksqlDB entièrement géré, Kafka Connect avec les connecteurs MongoDB.

Kafka Streams transforms your streams of data, be it a stateless transformation like masking personally identifiable information, or a complex stateful operation like aggregating across time windows, or a lookup table.

Confluent’s Stream Designer is a new visual canvas for rapidly building, testing, and deploying streaming data pipelines powered by Kafka.

Découvrez comment Confluent, basé sur Kafka et le Lakehouse de Databricks peuvent s'intégrer pour créer un pipeline de données en continu à des fins d'analytics en temps réel.

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.

Tune in to discover how you can avoid common mistakes that could set back your event-driven ambitions—and how Confluent’s fully managed platform can help get you where you need to be faster and with less operational headaches.

Join this webinar to see how the legacy of traditional implementations still impacts microservice architectures today.

In diesem Webinar wird vorgestellt, wie die DATEV den Weg hin zum cloud-nativen Datacenter und einer modernen Microservices-Architektur unter Einsatz von Apache Kafka und Confluent.

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?

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

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!

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.