[Webinar] Master Apache Kafka Fundamentals with Confluent | Register Here

Login Contact Sales

Watch DemoStart For Free
Stream Processing

Stream processing is essential for a world that never slows down.

Move beyond the batch with continuous, real-time data ingestion, transformation, and analysis. If you’ve got questions about event stream processing, we’ve got your answers below.

Here’s what’s happening now in stream processing.

squirrel-min
eBook

The Data Streaming Revolution: The Force of Kafka + Flink Awakens

Shoe retailer NewLimits is struggling with decentralized data processing challenges and needs a manageable, cost-effective stream processing solution for an important upcoming launch. Join developer Ada and architect Jax as they learn why Apache Kafka and Apache Flink are better together.

apache-flink-resources-min
Online Talk

Experience serverless stream processing with Confluent Cloud for Apache Flink®

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.

Hasan Jilani

Hasan Jilani, Confluent

martijn-visser

Martijn Visser, Confluent

Jump into stream processing by starting with the essentials.

Take a deeper dive into everything stream processing makes possible.

Explore all the Confluent resources by topic.

More Stream Processing Resources

eBook

5 Steps to Event Streaming: The Pivot from Projects to a Platform

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.

eBook

Designing Event-Driven Systems

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.

White Paper

A Technical Guide: How to Optimize Data Ingestion into Lakehouses & Warehouses

Discover a technical playbook for data engineers, architects, and developers on implementing a Shift Left approach with data streaming to optimize lakehouse and warehouse data ingestion.

eBook

Adopt Event-Driven Manufacturing Like BMW, Michelin, Siemens & Co

See BMW, Michelin, and Siemens use Apache Kafka for event-driven systems and how your manufacturing organization run event-driven microservices with data streaming.

eBook

The Data Streaming Revolution: The Force of Kafka + Flink Awakens

Shoe retailer NewLimits is struggling with decentralized data processing challenges and needs a manageable, cost-effective stream processing solution for an important upcoming launch. Join developer Ada and architect Jax as they learn why Apache Kafka and Apache Flink are better together.

Report

451 Research’s Report Reveals Major Apache Flink® & Confluent Announcements!

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

White Paper

Streams and Tables: Two Sides of the Same Coin

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.

White Paper

Consistency and Completeness: Rethinking Distributed Stream Processing in Apache Kafka®

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.

White Paper

Real Time is Happening: Discover How Data Streaming Can Revolutionize Your Business

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.