Description: Working with unbounded and fast-moving data streams has historically been difficult. But with Kafka Streams and ksqlDB, building stream processing applications is easy and fun. This practical guide shows data engineers how to use these tools to build highly scalable stream processing applications for moving, enriching, and transforming large amounts of data in real time.Mitch Seymour, data services engineer at Mailchimp, explains important stream processing concepts against a backdrop of several interesting business problems. You'll learn the strengths of both Kafka Streams and ksqlDB to help you choose the best tool for each unique stream processing project. Non-Java developers will find the ksqlDB path to be an especially gentle introduction to stream processing.Learn the basics of Kafka and the pub/sub communication pattern Build stateless and stateful stream processing applications using Kafka Streams and ksqlDB Perform advanced stateful operations, including windowed joins and aggregations Understand how stateful processing works under the hood Learn about ksqlDB's data integration features, powered by Kafka Connect Work with different types of collections in ksqlDB and perform push and pull queries Deploy your Kafka Streams and ksqlDB applications to production
Price: 73.15 USD
Location: East Hanover, New Jersey
End Time: 2024-11-15T05:31:03.000Z
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Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 60 Days
Refund will be given as: Money Back
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EAN: 9781492062493
UPC: 9781492062493
ISBN: 9781492062493
MPN: N/A
Book Title: Mastering Kafka Streams and ksqlDB: Building real-
Number of Pages: 432 Pages
Language: English
Publication Name: Mastering Kafka Streams and Ksqldb : Building Real-Time Data Systems by Example
Publisher: O'reilly Media, Incorporated
Subject: Data Modeling & Design, Internet / General, General, Data Processing
Publication Year: 2021
Item Height: 0.9 in
Item Weight: 26.2 Oz
Type: Textbook
Author: Mitch Seymour
Item Length: 9.1 in
Subject Area: Mathematics, Computers
Item Width: 7 in
Format: Trade Paperback
