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Kafka : the definitive guide: real-time data and stream processing at scale

Author: Neha Narkhede; Gwen Shapira; Todd Palino
Publisher: Sebastopol, CA : O'Reilly Media, 2016.
Edition/Format:   eBook : Document : English : First editionView all editions and formats
Summary:
Learn how to take full advantage of Apache Kafka, the distributed, publish-subscribe queue for handling real-time data feeds. With this comprehensive book, you will understand how Kafka works and how it is designed. Authors Neha Narkhede, Gwen Shapira, and Todd Palino show you how to deploy production Kafka clusters; secure, tune, and monitor them; write rock-solid applications that use Kafka; and build scalable  Read more...
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Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Neha Narkhede; Gwen Shapira; Todd Palino
ISBN: 9781491936160 1491936169 9781491936139 1491936134 9781491936115 1491936118
OCLC Number: 992751510
Description: 1 online resource (115 pages) : illustrations.
Contents: 1. Meet Kafka ---
2. Installing Kafka ---
3. Kafka Producers - Writing Messages to Kafka ---
4. Kafka Consumers - Reading Data from Kafka ---
5. Kafka Internals ---
6. Reliable Data Delivery ---
7. Building Data Pipelines ---
8. Cross-Cluster Data Mirroring ---
9. Administering Kafka ---
10. Stream Processing ---
11. Case Studies ----
A. Installing Kafka on Other Operating Systems.
Responsibility: Neha Narkhede, Gwen Shapira, Todd Palino

Abstract:

If you're an application architect, developer, or production engineer new to Apache Kafka, this practical guide shows you how to use this open source streaming platform to handle real-time data feeds.

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