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Mastering Kafka Streams and KsqlDB : Building Real-Time Data Systems by Example by Mitch Seymour (2021, Trade Paperback)
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Über dieses Produkt
Product Identifiers
PublisherO'reilly Media, Incorporated
ISBN-101492062499
ISBN-139781492062493
eBay Product ID (ePID)2321140148
Product Key Features
Number of Pages432 Pages
LanguageEnglish
Publication NameMastering Kafka Streams and Ksqldb : Building Real-Time Data Systems by Example
SubjectData Modeling & Design, Internet / General, General, Data Processing
Publication Year2021
TypeTextbook
AuthorMitch Seymour
Subject AreaMathematics, Computers
FormatTrade Paperback
Dimensions
Item Height0.9 in
Item Weight26.2 Oz
Item Length9.1 in
Item Width7 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN2021-444067
Dewey Edition23
IllustratedYes
Dewey Decimal004.21
SynopsisWorking 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
LC Classification NumberQA76.9.S84
