Cassandra: The Definitive Guide: Distributed Data at Web Scale

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9781491933664: Cassandra: The Definitive Guide: Distributed Data at Web Scale
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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 expanded second edition—updated for Cassandra 3.0—provides the technical details and practical examples you need to put this database to work in a production environment.

Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra’s non-relational design, with special attention to data modeling. If you’re a developer, DBA, or application architect looking to solve a database scaling issue or future-proof your application, this guide helps you 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
  • Develop sample applications using client drivers for languages including Java, Python, and Node.js
  • Explore cluster topology and learn how nodes exchange data
  • Maintain a high level of performance in your cluster
  • Deploy Cassandra on site, in the Cloud, or with Docker
  • Integrate Cassandra with Spark, Hadoop, Elasticsearch, Solr, and Lucene

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About the Author:

Jeff Carpenter is a software and systems architect with experience in the hospitality and defense industries. Jeff cut his teeth as an architect in the early days of Service-Oriented Architecture (SOA) and has worked on projects ranging from a complex battle planning system in an austere network environment, to a cloud-based hotel reservation system. Jeff is passionate about projects and technologies that change industries, helping troubled projects find architectural solutions, and mentoring other architects and developers.

Eben Hewitt is Director of Application Architecture at a publicly traded company where he is responsible for the design of their mission-critical, global-scale web, mobile and SOA integration projects. He has written several programming books, including Java SOA Cookbook (O'Reilly).

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Book Description O Reilly Media, Inc, USA, United States, 2016. Paperback. Condition: New. 2nd ed.. Language: English . Brand New Book. 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 expanded second edition-updated for Cassandra 3.0-provides the technical details and practical examples you need to put this database to work in a production environment. Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra s non-relational design, with special attention to data modeling. If you re a developer, DBA, or application architect looking to solve a database scaling issue or future-proof your application, this guide helps you 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 Develop sample applications using client drivers for languages including Java, Python, and Node.js Explore cluster topology and learn how nodes exchange data Maintain a high level of performance in your cluster Deploy Cassandra on site, in the Cloud, or with Docker Integrate Cassandra with Spark, Hadoop, Elasticsearch, Solr, and Lucene. Seller Inventory # AAS9781491933664

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Book Description O Reilly Media, Inc, USA, United States, 2016. Paperback. Condition: New. 2nd ed.. Language: English . Brand New Book. 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 expanded second edition-updated for Cassandra 3.0-provides the technical details and practical examples you need to put this database to work in a production environment. Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra s non-relational design, with special attention to data modeling. If you re a developer, DBA, or application architect looking to solve a database scaling issue or future-proof your application, this guide helps you 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 Develop sample applications using client drivers for languages including Java, Python, and Node.js Explore cluster topology and learn how nodes exchange data Maintain a high level of performance in your cluster Deploy Cassandra on site, in the Cloud, or with Docker Integrate Cassandra with Spark, Hadoop, Elasticsearch, Solr, and Lucene. Seller Inventory # AAS9781491933664

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