Get the presentations from the Kafka Summit NYC event.
Presentation from Apache Kafka Meetup at Strata San Jose (3/14/17). Jay Kreps will introduce Kafka and explain why it has become the de facto standard for streaming data.
This survey focuses on why and how companies are using Apache Kafka and streaming data and the impact it has on their business.
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.
Learn how to take full advantage of Apache KafkaTM, the distributed, publish-subscribe queue for handling real-time data feeds. With this comprehensive book, you’ll understand how Kafka works and how it’s designed.
This white paper provides a brief overview of how microservices can be built in the Apache Kafka ecosystem.
This white paper outlines the integration of Confluent Enterprise with the Microsoft Azure Cloud Platform.
A step-by-step guide to deploying Confluent Platform services on a running DC/OS environment.
Watch the keynote from Neha Narkhede, Confluent CTO and co-Founder.
Best practices for developing a connector using Kafka Connect APIs.
Quick demo around the DataStax Kafka Connect Cassandra Sink.
Big Data & Brews: Creator of Apache Kafka, Jay Kreps, shares how Kafka first came to fruition.
Michael Noll provides an overview of Kafka Streams including its design and API, typical use cases, code examples, and an outlook of its upcoming roadmap.
Neha Narkhede explains how Apache Kafka was designed to support capturing and processing distributed data streams by building up the basic primitives needed for a stream processing system.
This talk will cover the basic challenges of reliable, distributed, stateful stream processing and how Apache Kafka was designed to support capturing and processing distributed data streams.
Slides from Michael Noll's talk at Berlin Buzzwords in June 2016.
Flavio Junqueira explores what's possible and reasonable for streaming analytics to achieve when targeting exactly-once semantics.
Learn how to monitor, optimize, and troubleshoot performance of your data pipelines—from producer to consumer, development to production.
How Apache Kafka brings an event-centric approach to building streaming applications, and how to use Kafka Connect and Kafka Streams to build them.
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.
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.
Confluent Cloud™ is a hosted and fully managed Apache Kafka™ as a service in the public cloud.
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.
Learn about the components of Confluent Enterprise, key considerations for production deployments, and guidelines for selecting hardware or deployment with different cloud providers.
An overview of the Confluent Platform, the complete solution for real-time streams.
Presentation from Apache Kafka Meetup at Strata San Jose (3/14/17). Jay Kreps will introduce Kafka and explain why it has become the de facto standard for streaming data.
In this talk, Matt Howlett will give a technical overview of Kafka, discuss some typical use cases (from surge pricing to fraud detection to web analytics) and show you how to use Kafka from within your C#/.NET applications.
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.
Michael Noll provides an introduction to stream processing, use cases, and Apache Kafka.
Jay Kreps, CEO of Confluent and co-creator of Apache Kafka, shows you how logs work in distributed systems, and provide practical applications of these concepts in a variety of common use cases.
In this report, O’Reilly author Martin Kleppmann shows you how stream processing can make your data processing systems more flexible and less complex.
In her keynote from Berlin Buzzwords 2016, Neha Narkhede will explain how the fundamental nature of application development will change as stream processing goes mainstream.
Slides from Neha Narkhede's keynote at Berlin Buzzwords 2016.
Get an overview of Kafka Streams including its design and API, typical use cases, code examples, and an outlook of its upcoming roadmap.
This white paper outlines the integration of Confluent Enterprise with the Microsoft Azure Cloud Platform.
A step-by-step guide to deploying Confluent Platform services on a running DC/OS environment.
Watch the keynote from Neha Narkhede, Confluent CTO and co-Founder.
Best practices for developing a connector using Kafka Connect APIs.
Quick demo around the DataStax Kafka Connect Cassandra Sink.
How Apache Kafka brings an event-centric approach to building streaming applications, and how to use Kafka Connect and Kafka Streams to build them.
This white paper provides a brief overview of how microservices can be built in the Apache Kafka ecosystem.
Confluent and Attunity provide seamless mainframe integration and query offload for modern, distributed analytics environments via Apache Kafka.
Quick demo around the DataStax Kafka Connect Cassandra Sink.
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