Name: Cassandra: The Definitive Guide, (Revised) Third Edition: Distributed Data at web Scale (en Inglés)
Price: 72345.00 ARS
Availability: InStock
Author: Carpenter, Jeff ; Hewitt, Eben
ISBN: 9781492097143

portada Cassandra: The Definitive Guide, (Revised) Third Edition: Distributed Data at web Scale (en Inglés)

Formato

Libro Físico

Autor

Jeff Carpenter

Eben Hewitt

Editorial

O'Reilly Media

Año

2022

Idioma

Inglés

N° páginas

450

Encuadernación

Tapa Blanda

Dimensiones

23.3 x 17.8 x 2.2 cm

Peso

0.68 kg.

ISBN13

9781492097143

N° edición

0003

Categorías

Data mining: minería de datos
Software para bases de datos
Sistemas distribuidos

Cassandra: The Definitive Guide, (Revised) Third Edition: Distributed Data at web Scale (en Inglés)

Jeff Carpenter (Autor) · Eben Hewitt (Autor) · O'Reilly Media · Tapa Blanda

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Reseña del libro "Cassandra: The Definitive Guide, (Revised) Third Edition: Distributed Data at web Scale (en Inglés)"

Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you'll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This revised third edition--updated for Cassandra 4.0 and new developments in the Cassandra ecosystem, including deployments in Kubernetes with K8ssandra--provides technical details and practical examples to help you put this database to work in a production environment. Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra's nonrelational design, with special attention to data modeling. Developers, DBAs, and application architects looking to solve a database scaling issue or future-proof an application will learn how to harness Cassandra's speed and flexibility. Understand Cassandra's distributed and decentralized structure Use the Cassandra Query Language (CQL) and cqlsh (the CQL shell) Create a working data model and compare it with an equivalent relational model Design and develop applications using client drivers Explore cluster topology and learn how nodes exchange data Maintain a high level of performance in your cluster Deploy Cassandra onsite, in the cloud, or with Docker and Kubernetes Integrate Cassandra with Spark, Kafka, Elasticsearch, Solr, and Lucene