リソース

Learn about 6 common Kafka challenges that cause enterprise projects to fail, and how to overcome the disadvantages of running, managing, securing, and scaling Kafka.

靴小売大手の NewLimits は、毎晩のバッチジョブが失敗を続けるため、古くて一貫性のないデータに埋もれています。このコミックでは、開発者の Ada とアーキテクトの Jax がガイドの Iris とともに Batchland を抜け出し、Streamscape とイベントドリブン型アーキテクチャの世界に入る様子を描いています。

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。

Learn how Confluent's fully managed, cloud-native Kafka powers enterprise-grade data streaming, integration, and governance for modern banking and financial services use cases.

Recognizing the need for real-time data while understanding the burden of self-managing Kafka on their own led BigCommerce to choose Confluent—allowing them to tap into data streaming without having to manage and maintain the data infrastructure.

最新の電子ブックでは、レガシーデータパイプラインの課題に目を向け、ストリーミングパイプラインと既存の技術パートナーが社内のデータフローを最適化し、組織全体でのデータアクセス方法をスムーズにする方法について説明しています。

電子ブック『データパイプラインの変革でビジネスの変革を実現：対応を始めるための3つの方法』をダウンロードして、従来のデータパイプラインに関連する課題と、ストリーミングパイプラインが組織のデータのフローとアクセス方法の再考にどう役立つかを詳細に確認しましょう。

Mainframes play a fundamental role in many organizations, but can be expensive to operate. Discover how Confluent's data streaming technology can help reduce MIPS and lower costs, with real-world case studies and example architectures.

A data mesh is useful for military space operations for numerous reasons including improving data quality, enabling data access and sharing while maintaining security and access controls, and supporting better decision-making.

Confluent is uniquely positioned to help agencies reframe how they approach the responsibility for and the coordination of cyber defense and resilience.

With Confluent, USDA can deploy across on-prem and cloud environments so the different Mission Areas can continue to manage their data as they need. It creates a flexible and future-ready data infrastructure by decoupling producers and consumers, simplifying how data can be combined in new ways.

Confluent Platform completes the event streaming platform and adds the flexibility, durability, and security required for complex, large-scale mission operations.

A data mesh architecture helps address all eight guiding principles in the DoD Data Strategy from viewing data as a strategic asset to collective stewardship and enterprise access to being designed for compliance.

Data Centralization enables algorithms to work more effectively, with access to more information and working at the speed of machines to provide deeper insight in near real time.

With ABAC, authorization occurs at a granular level less than the topic in the stream. The requirement restricts access to fields within the event based on attribute types, combinations, and user roles.

Data streaming can be applied to nearly any citizen service (e.g., permit applications, financial aid, pensions, medical claims, immigration processing, tax filing), becoming increasingly powerful when government agencies use the same data sources across multiple applications.

Data mesh architectures help bridge the gap between the systems we have and the decisions we need to support.

How Confluent helps meet the Executive Order requirement for event forwarding and event log management in collecting, aggregating, routing, and sharing data.

Insights on streaming data from the General Services Administration (GSA), NASA, Air Force, and the Federal Energy Regulatory Commission.

The solution is better data-in-motion architectures that focus on harnessing the flow of data across applications, databases, Software as a Service (SaaS), layers and cloud systems.

Confluent enables government organizations to easily inject legacy data sources into new, modern applications and adapt to changing real-world circumstances faster than ever.

As the DoD continues to invest in DevSecOps as a culture and approach to rapidly meeting the warfighter’s needs, it needs secure yet widely available access to cloud-native infrastructure.

Event streaming puts data in motion and creates a central nervous system for your entire organization, creating a new paradigm that supports collecting a continuous flow of data throughout an organization and processing it in real time.

Data streaming enables organizations to put data sharing in motion. The sharing organization publishes a stream of events (including changes and deltas) as they occur and data sharing consumers can subscribe to efficiently receive them as they happen.

Confluent aligns closely with the goals of the Data Strategy’s principle of Conscious Design, harnessing existing data and protecting its quality and relevance, allowing agencies to be more responsive to constituent needs with modern services.

Confluent's data streaming platform enables government entities to transform the way they work with data to protect the public, improve infrastructure, manage transportation, and more.

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

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

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.

電子ブック「クラウドで Kafka を活用 : Confluent なら10倍の効果が見込める理由」をダウンロードして、Confluent がクラウドの力を活用して Apache Kafka の10倍優れたデータストリーミングプラットフォームを構築した方法を深く掘り下げ、Kafka 管理にまつわる悩みを解消しましょう。

Confluent enables government agencies to utilize data as a continually updating stream of events, rather than discrete snapshots. Run your agency by building real-time applications with historical context - all based on a universal event pipeline.

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.

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

We’ve put together a decision tree that will help you evaluate your current data streaming setup and trajectory to assess whether a fully managed data streaming platform is a good fit for you.

This whitepaper covers how to implement a real-time fraud detection solution, covering multi-channel detection and real-time data integration, real-time processing, machine learning and AI, and real-time monitoring, reporting, and analytics.

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

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.

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。

Data streaming provides an accurate, real-time view of your business. Learn about the data streaming ecosystem, its benefits, and how to accelerate real-time insights and analytics in this guide.

クラウドネイティブなデータストリーミングプラットフォームを構築するには、単にクラウド上で Kafka をホストするだけでは不十分です。Confluent は、クラウドのために構築された Apache Kafka エンジンである Kora の設計を文書化し、最も権威のある技術カンファレンスの1つである Very Large Data Bases (VLDB) で「Best Industry Paper」を受賞しました。

Apache Kafka 上に構築されたイベントドリブン型のデータメッシュが、重要なビジネスデータへのアクセスと運用面と分析面の統合に最良な方法を提供する理由。

This whitepaper is an in-depth guide to building streaming pipelines to data warehouses. Covers source and sink connectors (with Change Data Capture capabilities), stream processing with Kafka Streams and ksqlDB, with use cases and operational considerations.

This whitepaper is an in-depth guide to building streaming pipelines between different databases (RDBMS). Covers source and sink connectors (with Change Data Capture capabilities), stream processing with Kafka Streams and ksqlDB, with use cases and operational considerations.

This whitepaper outlines the most common patterns and considerations for Mainframe Integration projects.

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.

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

La vita è in tempo reale, quindi perché non anche i dati? Quando le aziende sfruttano appieno i flussi di dati in tempo reale, le possibilità sono praticamente illimitate. Scopri come la nostra piattaforma di streaming di dati sta trasformando le aziende.

Das Leben ist Echtzeit, warum also nicht auch die Daten? Wenn Unternehmen die Vorteile von Echtzeit-Datenströmen voll ausschöpfen, sind die Möglichkeiten nahezu unbegrenzt. Erfahren Sie, wie unsere Daten-Streaming-Plattform Unternehmen verändert.

La vida es en tiempo real, entonces, ¿por qué no los datos también? Cuando las empresas aprovechan al máximo los flujos de datos en tiempo real, las posibilidades son prácticamente ilimitadas. Descubra cómo nuestra plataforma de transmisión de datos está transformando las empresas.

La vie est en temps réel, alors pourquoi pas les données aussi ? Lorsque les entreprises tirent pleinement parti des flux de données en temps réel, les possibilités sont pratiquement illimitées. Découvrez comment notre plateforme de streaming de données transforme les entreprises.

In diesem Whitepaper führen wir Sie durch alle Schritte, wie Sie MQTT-Daten aus einem HiveMQ-Broker-Cluster in einen Apache Kafka-Cluster auf der Confluent Cloud integrieren.

Learn about 5 challenges of legacy systems and why your organization should move its data infrastructure and Apache Kafka use cases to the cloud.

Discover the latest Apache Flink developments and major Confluent announcements from Kafka Summit 2023 in 451 Research’s Market Insight Report.

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.

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.

Leggi perché BestSecret aveva bisogno di un modo per garantire stabilità, scalabilità e affidabilità alla sua architettura event-driven.

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.

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

"La nostra piattaforma interna si basa completamente sulla comunicazione di Kafka tra tutti i settori, perciò per noi è come un sistema nervoso". — Massimiliano Catapano | Chief Technology Officer

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

Dovreste dedicare del tempo all'autogestione di tecnologie open source come Apache Kafka® (uild) o investire in un servizio gestito (buy)? Valutiamo!

Con le pipeline di streaming è possibile ottenere i dati nel posto giusto, al momento più adatto e nel formato corretto.

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.

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%.

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.

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.

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.

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.

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

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

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 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

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.

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.

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.

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.

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.

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.