Resources

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

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

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.

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

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.

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.

Shoe retail titan NewLimits is drowning in stale, inconsistent data due to nightly batch jobs that keep failing. Read the comic to see how developer Ada and architect Jax navigate through Batchland with Iris, their guide, and enter Streamscape and the realm of event-driven architectures.

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.

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.

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.

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.

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

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.

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.

Learn how event-driven architecture and stream processing tools such as Apache Kafka can help you build business-critical systems that open modern, innovative use cases.

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

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.

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.

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.

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.

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.

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

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

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.

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.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.

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

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

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

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

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

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

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

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

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

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.

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

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

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

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

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

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

This brief describes a modern data architecture with Kafka and MongoDB

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

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

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

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

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

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

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

Best practices for developing a connector using Kafka Connect APIs.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

An overview of the enterprise-ready event streaming platform.

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

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

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

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

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

This panel of industry experts discuss their everyday usage of data streaming within their company, how they got there, and what use cases they will be focussing on further down the road of real-time.

This panel of industry experts discuss their everyday usage of data streaming within their company, how they got there, and what use cases they will be focussing on further down the road of real-time.

Explore the state of data streaming in the insurance industry, which constantly needs innovation due to changing market environments and changes in customer expectations.

Join this demo webinar to see how Confluent and Rockset power a critical architecture for efficiently developing and scaling AI applications built on real-time streaming data.

Arsitektur aplikasi bergeser dari sistem perusahaan monolitik ke pendekatan yang fleksibel, dapat diskalakan, dan digerakkan oleh peristiwa. Selamat datang di era layanan mikro.

Application architecture is shifting from monolithic enterprise systems to flexible, scalable, event-driven approaches. Welcome to the microservices era.

In this hands-on session with Q&A, you’ll learn how to build streaming pipelines to connect, process, govern, and share real-time data flows for cloud databases. The demo shows how an ecommerce company uses streaming pipelines for Customer 360 and personalization.

Data streaming is an infrastructure revolution that is fundamentally changing how Departments and Agencies think about data and build applications.

Join us over 3 days from September 26th to 28th for the "Full Stream Ahead - Live from Current 2023" webinar series.

Join us to learn how to set up Confluent Cloud to provide a singular and global data plane connecting all of your systems, applications, datastores, and environments – regardless of whether systems are running on-prem, in the cloud, or both.

Explore use cases, architectures, and success stories for data streaming in the aviation industry, including airlines, airports, global distribution systems (GDS), aircraft manufacturers, and more.

Learn how DISH’ Wireless scaled their data streaming platform to power a new smart 5G network and deliver next-gen apps and valuable network data products. Hear why DISH chose Confluent Cloud and delve deeper into their 5G architecture.

Explore the latest data streaming trends and architectures, including edge, datacenter, hybrid, and multicloud solutions.

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.

Straight from the event floor to you, DIMT Reflections - A Data in Motion Recap discussion series showcases the best of the best content from the Data in Motion tour. Giving you access to conversations and content from the best the APAC region has to offer.

In this hands-on session you’ll learn about Custom Connectors for connecting to any data system or apps without needing to manage Kafka Connect infrastructure. We’ll show you how to upload your connector plugin, configure the connector, and monitor the logs and metrics pages ensure high performance.

Demo webinar: Build a real-time analytics app to query and visualize critical observability metrics including latencies, error rates, and overall service health status. See how it’s done with Confluent Cloud and Imply Polaris, a fully managed Apache Druid® service.

Join Forrester analyst Mike Gualtieri and Albertsons Senior Director of Omni-Channel Architecture Nitin Saksena to hear how the market trends driving the adoption of data streaming and how Albertsons has implemented a plethora of real-time use cases to deliver differentiated customer experiences.

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.

In this hands-on session we’ll show how to enrich customer data with real-time product, order, and demographic data every time a new order is created. You’ll learn how to connect data sources, process data streams with ksqlDB, and govern streaming pipelines with Confluent.

Data governance is critical, but how do you govern data streams in real-time? Learn how ACERTUS drove faster microservices development, unlocked streaming data pipelines and real-time data integration across 4K+ schemas using Confluent’s Stream Governance.

Partner webinar: Meet with Confluent’s Kafka experts to build your step-by-step plan for integrating with Confluent Cloud and accelerating customer growth on your platform through real-time data streams.

In this three-part series, you’ll get an overview of what Kafka is, what it's used for, and the core concepts that enable it to power a highly scalable, available and resilient real-time event streaming platform.

Join 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.

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.

Explore general trends like customer-driven in-store experiences, social & locality platforms, and how data streaming helps modernize and innovate customer experiences as well as operational efficiencies.

Explore general trends like customer-driven in-store experiences, social & locality platforms, and how data streaming helps modernize and innovate customer experiences as well as operational efficiencies.

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

With fraud growing at exponential rates and costing financial firms billions of dollars in losses, we take a deeper look into the role timely data and real-time context plays in risk analytics and fraud mitigation.

Explore general trends and how data streaming architectures are used, included edge, data center, hybrid and multi cloud helps to modernize and innovate the industry.

Explore general trends like customer-driven in-store experiences, social & locality platforms, and how data streaming helps modernize and innovate customer experiences as well as operational efficiencies.

Explore general trends and how data streaming helps modernize legacy architectures to enable digitalization in regulated industries.

Explore general trends like software-defined manufacturing and how data streaming helps modernize and innovate the entire engineering and sales lifecycle.

Data serves as the lifeblood of modern businesses, propelling them toward unprecedented success. With data volumes growing at a breakneck speed, the ability to harness its power in real time has become the key to driving greater business insight and accelerating innovation.

In this webinar, we’ll be joined by guest speakers from Forrester and Scotiabank to discuss how real-time data streaming is advancing fraud detection and driving smarter decision-making across the Financial Services industry.

Confluent Platform 7.4 enables Apache Kafka® to scale to millions of partitions. It simplifies architectures and accelerates time to market with self-service tooling and codified best practices for developers, ensuring consistent and accurate data.

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

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.

In this webinar, we’ll walk through how to build streaming data pipelines to Databricks across on-prem and cloud environments using Confluent and our ecosystem of pre-built connectors, with ksqlDB for real-time stream processing.

In this webinar, hear directly from KOR's CTO to learn why they chose Confluent over MSK to serve as a single source of truth for four decades’ worth of trade reporting data to stay in compliance with financial regulations.

During this webinar, learn how to simplify event-driven, serverless architectures with Confluent and AWS Lambda. You'll see how to scale seamlessly, integrate AWS Lambda with Confluent, and build apps faster with Confluent’s robust connector ecosystem.

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

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.

In this demo, you will learn how to transform your existing fraud tools with the power of real time data streaming and processing in Confluent. See how to easily connect, curate and integrate relevant data into your fraud systems to build a faster, smarter fraud detection solution.

In this webinar you will hear from industry experts on how real-time data streaming is advancing fraud detection and driving smarter decision-making across the Financial Services industry.

Data streaming is an infrastructure revolution that is fundamentally changing how public sector organisations think about data and build applications. Rather than viewing data as stored records or transient messages, data could be considered to be a continually updating stream of events.

Learn how to ensure high data quality, discoverability, and compatibility for your real-time data streams on Confluent Cloud using Stream Governance. Confluent’s Stream Governance team will demo the latest features and enhanced capabilities, along with showing how you can upgrade in a few clicks.

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

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.

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.

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.

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.