Description: Kafka - The Definitive GuideReal-Time Data and Stream Processing at Scale Author(s): Gwen Shapira, Todd Palino, Rajini Sivaram Format: Paperback Publisher: O'Reilly Media, United States Imprint: O'Reilly Media ISBN-13: 9781492043089, 978-1492043089 Synopsis Every enterprise application creates data, whether it consists of log messages, metrics, user activity, or outgoing messages. Moving all this data is just as important as the data itself. With this updated edition, application architects, developers, and production engineers new to the Kafka streaming platform will learn how to handle data in motion. Additional chapters cover Kafka's AdminClient API, transactions, new security features, and tooling changes. Engineers from Confluent and LinkedIn responsible for developing Kafka explain how to deploy production Kafka clusters, write reliable event-driven microservices, and build scalable stream processing applications with this platform. Through detailed examples, you'll learn Kafka's design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the controller, and the storage layer. You'll examine: Best practices for deploying and configuring Kafka Kafka producers and consumers for writing and reading messages Patterns and use-case requirements to ensure reliable data delivery Best practices for building data pipelines and applications with Kafka How to perform monitoring, tuning, and maintenance tasks with Kafka in production The most critical metrics among Kafka's operational measurements Kafka's delivery capabilities for stream processing systems
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Location: DELHI, DELHI
End Time: 2024-11-07T15:25:51.000Z
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Restocking Fee: No
Return shipping will be paid by: Seller
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Publication Year: 2021
Type: Textbook
Format: Trade Paperback
Subject Area: Mathematics, Computers
Language: English
Publication Name: Kafka: the Definitive Guide
Author: Rajini Sivaram, Krit Petty, Todd Palino, Gwen Shapira
Publisher: O'reilly Media, Incorporated
Subject: Programming / Open Source, General, Databases / Data Warehousing, Data Processing
Number of Pages: 485 Pages
