Resources

Apache Kafka

PlayDistributed Stream Processing with Apache Kafka
presentation
Distributed Stream Processing with Apache Kafka

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.

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PlayMicroservices in the Apache Kafka™ Ecosystem
white paper
Microservices in the Apache Kafka™ Ecosystem

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

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PlayDeploying Confluent Enterprise on Microsoft Azure
white paper
Deploying Confluent Enterprise on Microsoft Azure

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

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PlayDeploying Confluent Platform with Mesosphere Datacenter Operating System
white paper
Deploying Confluent Platform with Mesosphere Datacenter Operating System

A step-by-step guide to deploying Confluent Platform services on a running DC/OS environment.

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PlayThe Rise of Real-Time (All Things Open 2016 Keynote)
video
The Rise of Real-Time (All Things Open 2016 Keynote)

Watch the keynote from Neha Narkhede, Confluent CTO and co-Founder.

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PlayPartner Development Guide for Kafka Connect
white paper
Partner Development Guide for Kafka Connect

Best practices for developing a connector using Kafka Connect APIs.

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PlayDataStax Kafka Connect Cassandra Sink Demo - 5:51
video
DataStax Kafka Connect Cassandra Sink Demo - 5:51

Quick demo around the DataStax Kafka Connect Cassandra Sink.

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PlayWhat is Apache Kafka - 10:25
video
What is Apache Kafka - 10:25

Big Data & Brews: Creator of Apache Kafka, Jay Kreps, shares how Kafka first came to fruition.

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PlayIntroducing Kafka Streams - 37:20
video
Introducing Kafka Streams - 37:20

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.

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PlayLarge-Scale Stream Processing with Apache Kafka - 50:46
video
Large-Scale Stream Processing with Apache Kafka - 50:46

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.

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PlayTalk at StrangeLoop 2015 conference - 28:55
video
Talk at StrangeLoop 2015 conference - 28:55

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.

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PlayIntroducing Kafka Streams
presentation
Introducing Kafka Streams

Slides from Michael Noll's talk at Berlin Buzzwords in June 2016.

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PlayMaking Sense of Exactly-once Semantics
presentation
Making Sense of Exactly-once Semantics

Flavio Junqueira explores what's possible and reasonable for streaming analytics to achieve when targeting exactly-once semantics.

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PlayRunning Kafka at Scale
presentation
Running Kafka at Scale

Learn how to monitor, optimize, and troubleshoot performance of your data pipelines—from producer to consumer, development to production.

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PlayBuilding a Real-time Streaming Platform Using Kafka Connect + Kafka Streams
presentation
Building a Real-time Streaming Platform Using Kafka Connect + Kafka Streams

How Apache Kafka brings an event-centric approach to building streaming applications, and how to use Kafka Connect and Kafka Streams to build them.


Product Info

PlayConfluent Operations Training for Apache Kafka
datasheet
Confluent Operations Training for Apache Kafka

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.

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PlayConfluent Developer Training: Building Kafka Solutions
datasheet
Confluent Developer Training: Building Kafka Solutions

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.

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PlayComparing Confluent Platform with Traditional Messaging Middleware
white paper
Comparing Confluent Platform with Traditional Messaging Middleware

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.

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PlayConfluent Enterprise Reference Architecture
white paper
Confluent Enterprise Reference Architecture

Learn about the components of Confluent Enterprise, key considerations for production deployments, and guidelines for selecting hardware or deployment with different cloud providers.

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PlayConfluent Enterprise Datasheet
datasheet
Confluent Enterprise Datasheet

An overview of the Confluent Platform, the complete solution for real-time streams.

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Stream Processing

PlayDistributed Stream Processing with Apache Kafka
presentation
Distributed Stream Processing with Apache Kafka

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.

View
PlayStream Processing with Apache Kafka and .NET
presentation
Stream Processing with Apache Kafka and .NET

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.

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PlayApplication Development in the Emerging World of Stream Processing - 46:45
video
Application Development in the Emerging World of Stream Processing - 46:45

Michael Noll provides an introduction to stream processing, use cases, and Apache Kafka.

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PlayI Heart Logs: Event Data, Stream Processing, and Data Integration
ebook
I Heart Logs: Event Data, Stream Processing, and Data Integration

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.

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PlayApplications in the Emerging World of Stream Processing - 50:11
video
Applications in the Emerging World of Stream Processing - 50:11

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.

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PlayTalk at Philly ETE conference - 55:05
video
Talk at Philly ETE conference - 55:05
PlayApplications in the Emerging World of Stream Processing
presentation
Applications in the Emerging World of Stream Processing

Slides from Neha Narkhede's keynote at Berlin Buzzwords 2016.

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PlayKafka Streams - Stream processing Made Simple with Kafka
presentation
Kafka Streams - Stream processing Made Simple with Kafka

Get an overview of Kafka Streams including its design and API, typical use cases, code examples, and an outlook of its upcoming roadmap.

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Connecting to Apache Kafka

PlayDeploying Confluent Enterprise on Microsoft Azure
white paper
Deploying Confluent Enterprise on Microsoft Azure

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

View Now
PlayDeploying Confluent Platform with Mesosphere Datacenter Operating System
white paper
Deploying Confluent Platform with Mesosphere Datacenter Operating System

A step-by-step guide to deploying Confluent Platform services on a running DC/OS environment.

View Now
PlayThe Rise of Real-Time (All Things Open 2016 Keynote)
video
The Rise of Real-Time (All Things Open 2016 Keynote)

Watch the keynote from Neha Narkhede, Confluent CTO and co-Founder.

Watch
PlayPartner Development Guide for Kafka Connect
white paper
Partner Development Guide for Kafka Connect

Best practices for developing a connector using Kafka Connect APIs.

Download
PlayDataStax Kafka Connect Cassandra Sink Demo - 5:51
video
DataStax Kafka Connect Cassandra Sink Demo - 5:51

Quick demo around the DataStax Kafka Connect Cassandra Sink.

Watch
PlayBuilding a Real-time Streaming Platform Using Kafka Connect + Kafka Streams
presentation
Building a Real-time Streaming Platform Using Kafka Connect + Kafka Streams

How Apache Kafka brings an event-centric approach to building streaming applications, and how to use Kafka Connect and Kafka Streams to build them.


Use Cases

PlayMicroservices in the Apache Kafka™ Ecosystem
white paper
Microservices in the Apache Kafka™ Ecosystem

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

Download
PlayLeveraging Mainframe Data for Modern Analytics
brief
Leveraging Mainframe Data for Modern Analytics

Confluent and Attunity provide seamless mainframe integration and query offload for modern, distributed analytics environments via Apache Kafka.

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PlayDataStax Kafka Connect Cassandra Sink Demo - 5:51
video
DataStax Kafka Connect Cassandra Sink Demo - 5:51

Quick demo around the DataStax Kafka Connect Cassandra Sink.

Watch

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