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Cassandra: The Definitive Guide, (Revised) Third Edition (Distributed Data at Web Scale)

List Price: $79.99
SKU:
9781492097143
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  • Product Details

    Author:
    Jeff Carpenter, Eben Hewitt
    Format:
    Paperback
    Pages:
    430
    Publisher:
    O'Reilly Media (March 1, 2022)
    Language:
    English
    ISBN-13:
    9781492097143
    ISBN-10:
    1492097144
    Dimensions:
    7" x 9.19"
    File:
    TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20251022163324-20251022.xml
    Folder:
    TWO RIVERS
    List Price:
    $79.99
    Case Pack:
    9
    As low as:
    $68.79
    Publisher Identifier:
    P-PER
    Discount Code:
    C
    Country of Origin:
    United States
    Pub Discount:
    60
    Weight:
    24.16oz
    Imprint:
    O'Reilly Media
  • Overview

    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