Resources

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

Forrester says Confluent is a “Streaming force to be reckoned with,” and has named Confluent a leader in The Forrester Wave™: Streaming Data Platforms, Q4 2023. See why Confluent is a leader.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Building a cloud-native data streaming platform isn’t just hosting Kafka on the cloud. We documented our design of Kora, the Apache Kafka engine built for the cloud, and were awarded “Best Industry Paper” at Very Large Data Bases (VLDB), one of the most prestigious tech conferences.

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.

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.

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.

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

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.

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.

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.

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.

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.

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.

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.

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

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.

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

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

In this two-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.

Learn how to build a data mesh on Confluent Cloud by understanding, accessing, and enriching your real-time Kafka data streams using Stream Governance. Confluent’s product team will demo the latest features and enhanced capabilities, along with showing how you can get access in a few clicks.

As the year draws to a close, we invite you to join us for a special event that reflects on the best moments of 2023 and provides a glimpse into the future of data and innovation.

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

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

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

Join Lyndon Hedderly and Burhan Nazir of Confluent as they share their expertise on deploying enterprise-wide data streaming and accelerating the speed to realising measurable business value derived from a data-streaming investment.

Data Streaming with Apache Kafka and Apache Flink is one of the world's most relevant and talked about paradigms in technology. With the buzz around this technology growing, join Kai Waehner, Global Field CTO at Confluent, to hear his predictions for the 'Top Five Trends for Data Streaming in 2024'.

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.

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.

Join us in our new Confluent Illustrated webinar as we present the fundamental aspects of data mesh and how to best put it into practice.

In this webinar, you'll learn about the new open preview of Confluent Cloud for Apache Flink®, a serverless Flink service for processing data in flight. Discover how to filter, join, and enrich data streams with Flink for high-performance stream processing at any scale.

Experience a groundbreaking discussion led by James Golan, a solutions engineering expert at Confluent. In this comprehensive session, delve into the core concepts of data motion, where data powers digital experiences and businesses alike.

This 35-minute webinar is an overview of the Gartner Presentation How Data Streaming Makes Your Broader Data Strategy Successful.

It is a high-level overview of Greg’s Presentation with some added commentary on what is being spoken about at the summit.

McAfee, a leader in online protection, recognized the need to transition from open-source Kafka for their cloud-native modernization effort. Learn how they drove a successful migration, secured leadership buy-in to support this shift, & discovered insights for crafting an effective Kafka strategy.

Demo webinar: See how realJoin us for a captivating fireside chat with John Heaton, the visionary CTO of Alex Bank, as he reveals the transformative power of cutting-edge technology in banking.

Demo webinar: See how real world gaming tech use cases like real-time player cheating detection are powered by Confluent’s 10x Kafka service for data streaming and AWS Lambda.

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

A 'how to' webinar in which Rojo outlines how to optimise the use of Apache Kafka in your SAP integration initiatives.

Pritha Mehra, CIO of United States Postal Service, spoke with Confluent co-founder Jun Rao, where she described how the postal service leveraged data streaming to send free COVID-19 test kits to all Americans in the height of the pandemic.

Explore the state of data streaming in the gaming industry. Various innovative business models are powered by real-time data to provide gaming services for millions of users globally, leading to billions of USD in revenue and billions of events per day.

Video with Jason Schick: The strategy emphasizes the need for enterprise-wide data standards and coordination of data use across agencies, as well as using data to inform annual budget planning.

Hear our esteemed panel of experts address how to leverage information as a strategic asset.

Government agencies understand the need to augment traditional SIEM systems. And, with this knowledge comes the pressure to do so in a way that is better, faster, and cheaper than before.

Join Kai Waehner, Field CTO at Confluent, for an online talk in which he will explore the latest data in motion & Apache Kafka® use cases for the defence industry.

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.

In this webinar, you’ll learn about best practices for building a data mesh from analyst Michele Goetz, the principles for building better data pipelines for a data mesh architecture and how streaming pipelines helped Lumen implement a data mesh and architect a democratized data marketplace.

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.

Learn from Vimeo on Creating Better, Faster Real-Time User Experiences at Massive Scale From batch ETL with a 1-day delay to building streaming data pipelines, learn how Vimeo unlocked real-time analytics and performance monitoring to optimize video experiences for 260M+ users.

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.

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

Watch this webinar for an opportunity to hear from the thought leaders of Kafka and Apache Druid on how Confluent Cloud and Imply Polaris enable customers to leverage the power of interactive streaming platforms to accelerate real time data analytics.

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

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

In this webinar, learn how Confluent and AWS can help your company detect and combat financial fraud. Confluent's cloud-native data streaming platform gathers and analyzes transactional and event data in real time to prevent fraud, reduce losses, and protect your business from threats.

Hear how Thrivent brought mainframe customer data into a real-time streaming platform so customers get a frictionless omnichannel experience. Systems integration partner, Improving, will discuss how they helped Thrivent speed up this data transformation journey.

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.

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 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.

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.

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.