Name: Mastering Kafka Streams and Ksqldb: Building Real-Time Data Systems by Example (en Inglés)
Price: 60620.00 CLP
Availability: InStock
Author: Seymour, Mitch
ISBN: 9781492062493

portada Mastering Kafka Streams and Ksqldb: Building Real-Time Data Systems by Example (en Inglés)

Formato

Libro Físico

Autor

Mitch Seymour

Editorial

O'Reilly Media

Año

2021

Idioma

Inglés

N° páginas

409

Encuadernación

Tapa Blanda

Dimensiones

23.3 x 17.8 x 2.2 cm

Peso

0.68 kg.

ISBN13

9781492062493

N° edición

Categorías

Programación web
Diseño y teoría de bases de datos
Visión por ordenador
Arquitectura de la información

Mastering Kafka Streams and Ksqldb: Building Real-Time Data Systems by Example (en Inglés)

Mitch Seymour (Autor) · O'Reilly Media · Tapa Blanda

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Origen: Reino Unido (Costos de importación incluídos en el precio)

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Reseña del libro "Mastering Kafka Streams and Ksqldb: Building Real-Time Data Systems by Example (en Inglés)"

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