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Fast Data Processing Systems with SMACK Stack

You're reading from  Fast Data Processing Systems with SMACK Stack

Product type Book
Published in Dec 2016
Publisher Packt
ISBN-13 9781786467201
Pages 376 pages
Edition 1st Edition
Languages
Author (1):
Raúl Estrada Raúl Estrada
Profile icon Raúl Estrada

Table of Contents (15) Chapters

Fast Data Processing Systems with SMACK Stack
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. An Introduction to SMACK 2. The Model - Scala and Akka 3. The Engine - Apache Spark 4. The Storage - Apache Cassandra 5. The Broker - Apache Kafka 6. The Manager - Apache Mesos 7. Study Case 1 - Spark and Cassandra 8. Study Case 2 - Connectors 9. Study Case 3 - Mesos and Docker

Introducing Kafka


Jay Kreps, the author of Apache Kafka says about the Kafka name:

I thought that since Kafka was a system optimized for writing using a writer's name would make sense. I had taken a lot of lit classes in college and liked Franz Kafka. Plus the name sounded cool for an open source project.

So basically there is not much of a relationship.

Apache Kafka is mainly optimized for writing (in this book when we say optimized we mean two million writes per second on a commodity cluster).

Nowadays, real-time information is continuously generated; this data needs easy ways to be delivered to multiple receivers. Most of the time, generators and consumers of information are inaccessible to each other, and here is when integration tools are required.

In the eighties, nineties and two thousands, the large software vendors (IBM, SAP, BEA, Oracle, Microsoft, Google, and so on) found a very lucrative market in the integration layer. Here we can find enterprise service buses, SOA architectures...

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