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Mastering Apache Cassandra - Second Edition [Paperback]

$61.99       (Free Shipping)
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  • Category: Books (Computers)
  • Author:  Nishant Neeraj
  • Author:  Nishant Neeraj
  • ISBN-10:  1784392618
  • ISBN-10:  1784392618
  • ISBN-13:  9781784392611
  • ISBN-13:  9781784392611
  • Publisher:  Packt Publishing - ebooks Account
  • Publisher:  Packt Publishing - ebooks Account
  • Pages:  322
  • Pages:  322
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Mar-2015
  • Pub Date:  01-Mar-2015
  • SKU:  1784392618-11-MPOD
  • SKU:  1784392618-11-MPOD
  • Item ID: 100226440
  • Seller: ShopSpell
  • Ships in: 2 business days
  • Transit time: Up to 5 business days
  • Delivery by: Jan 18 to Jan 20
  • Notes: Brand New Book. Order Now.

Build, manage, and configure high-performing, reliable NoSQL database for your application with Cassandra

About This Book

  • Develop applications for modelling data with Cassandra 2
  • Manage large amounts of structured, semi-structured, and unstructured data with Cassandra
  • Explore a wide-range of Cassandra components and how they interact to create a robust, distributed system.

Who This Book Is For

The book is aimed at intermediate developers with an understanding of core database concepts who want to become a master at implementing Cassandra for their application.

In Detail

With ever increasing rates of data creation comes the demand to store data as fast and reliably as possible, a demand met by modern databases such as Cassandra. Apache Cassandra is the perfect choice for building fault tolerant and scalable databases. Through this practical guide, you will program pragmatically and understand completely the power of Cassandra. Starting with a brief recap of the basics to get everyone up and running, you will move on to deploy and monitor a production setup, dive under the hood, and optimize and integrate it with other software.

You will explore the integration and interaction of Cassandra components, and explore great new features such as CQL3, vnodes, lightweight transactions, and triggers. Finally, by learning Hadoop and Pig, you will be able to analyze your big data.

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