Processing ......
FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World
 
O'Reilly® HBase: The Definitive Guide
🌠 Top Free Mathematics Books - 100% Free or Open Source!
  • Title O'Reilly® HBase: The Definitive Guide
  • Author(s) Lars George
  • Publisher: O'Reilly Media; 1 edition;
  • Paperback: 432 pages
  • eBook HTML and PDF (554 pages, 19.6 MB)
  • Language: English
  • ISBN-10: 1449396100
  • ISBN-13: 978-1449396107
  • Share This:  

Book Description

If your organization is looking for a storage solution to accommodate a virtually endless amount of data, this book will show you how Apache HBase can fulfill your needs. As the open source implementation of Google's BigTable architecture, HBase scales to billions of rows and millions of columns, while ensuring that write and read performance remain constant. HBase: The Definitive Guide provides the details you require, whether you simply want to evaluate this high-performance, non-relational database, or put it into practice right away.

HBase's adoption rate is beginning to climb, and several IT executives are asking pointed questions about this high-capacity database. This is the only book available to give you meaningful answers.

  • Learn how to distribute large datasets across an inexpensive cluster of commodity servers
  • Develop HBase clients in many programming languages, including Java, Python, and Ruby
  • Get details on HBase's primary storage system, HDFS - Hadoop's distributed and replicated filesystem
  • Learn how HBase's native interface to Hadoop's MapReduce framework enables easy development and execution of batch jobs that can scan entire tables
  • Discover the integration between HBase and other facets of the Apache Hadoop project
About the Authors
  • N/A
Reviews, Ratings, and Recommendations: Related Book Categories: Read and Download Links: Similar Books:
  • HBase Succinctly (Elton Stoneman)

    This book teaches you to use Apache HBase to improve your control of big data. It will detail what makes HBase different from other databases and teach you about its signature features. With this knowledge, you will be able to jump into big data management.

  • Big Data Analytics with Hadoop 3 (Sridhar Alla)

    This book shows you how to combine Hadoop with a host of other big data tools to build powerful analytics solutions, by providing insights into the software as well as its benefits with the help of practical examples.

  • Hadoop with Python (Zachary Radtka, et al)

    This book takes you through the basic concepts behind Hadoop, MapReduce, Pig, and Spark. Then, through multiple examples and use cases, you'll learn how to work with these technologies by applying various Python tools.

  • Hadoop Succinctly (Elton Stoneman)

    This booky explains how Hadoop works, what goes on in the cluster, demonstrates how to move data in and out of Hadoop, and how to query it efficiently. It also walks through a Java MapReduce example, illustrates it in Python and .NET, too.

  • Redis in Action (Josiah Carlson)

    This book introduces Redis and walks you through examples that demonstrate how to use it effectively. You'll begin by getting Redis set up properly and then exploring the key-value modell, learn how to scale Redis from small jobs to massive datasets.

  • How To Manage a Redis Database (Mark Drake)

    This book aims to provide an approachable introduction to Redis concepts by outlining many of the key-value store's commands so readers can learn their patterns and syntax, thus building up readers’ understanding gradually.

  • Graph Databases: New Opportunities for Connected Data

    This book provides a practical foundation for those who want to apply Graph Database to real-world business solutions. You'll learn why graph database are useful, where they're applicable, and how to design and implement solutions that use them.

  • Guide to NoSQL with Azure Cosmos DB (Gaston C. Hillar, et al)

    This book is for C# developers. This book starts off by showing you the main features of Cosmos DB, their supported NoSQL data models and the foundations of its scalable and distributed architecture.

  • Firebase Essentials (Neil Smyth)

    This book provides everything you need to successfully integrate Firebase cloud features into your Android apps. The book is organized into chapter groups that focus on specific Firebase features, with each topic area consisting of a detailed overview.

  • Apache Cassandra Succinctly (Marko Svaljek)

    Step outside the relational world and learn how to store data with Apache Cassandra, the massively popular NoSQL distributed database system. You will be able to store and model data using the Cassandra Query Language, and use Cassandra within your own apps.

  • O'Reilly® CouchDB: The Definitive Guide (J. Chris Anderson, et al)

    This book teaches the fundamentals of one of the most powerful database engines ever created for the price of a good lunch.

Book Categories
:
Other Categories
Resources and Links