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Hbase in Action

by

Hbase in Action Cover

 

Synopses & Reviews

Publisher Comments:

Summary

HBase in Action has all the knowledge you need to design, build, and run applications using HBase. First, it introduces you to the fundamentals of distributed systems and large scale data handling. Then, you'll explore real-world applications and code samples with just enough theory to understand the practical techniques. You'll see how to build applications with HBase and take advantage of the MapReduce processing framework. And along the way you'll learn patterns and best practices.

About the Technology

HBase is a NoSQL storage system designed for fast, random access to large volumes of data. It runs on commodity hardware and scales smoothly from modest datasets to billions of rows and millions of columns.

About this Book

HBase in Action is an experience-driven guide that shows you how to design, build, and run applications using HBase. First, it introduces you to the fundamentals of handling big data. Then, you'll explore HBase with the help of real applications and code samples and with just enough theory to back up the practical techniques. You'll take advantage of the MapReduce processing framework and benefit from seeing HBase best practices in action.

Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.

What's Inside

  • When and how to use HBase
  • Practical examples
  • Design patterns for scalable data systems
  • Deployment, integration, and design

Written for developers and architects familiar with data storage and processing. No prior knowledge of HBase, Hadoop, or MapReduce is required.

Table of Contents

    PART 1 HBASE FUNDAMENTALS
  1. Introducing HBase
  2. Getting started

  3. Distributed HBase, HDFS, and MapReduce
  4. PART 2 ADVANCED CONCEPTS
  5. HBase table design

  6. Extending HBase with coprocessors
  7. Alternative HBase clients
  8. PART 3 EXAMPLE APPLICATIONS
  9. HBase by example: OpenTSDB
  10. Scaling GIS on HBase
  11. PART 4 OPERATIONALIZING HBASE
  12. Deploying HBase

  13. Operations

Synopsis:

When dealing with big data, traditional databases don't cut it. It's best to use the right tool for the job. HBase is a NoSQL storage system designed from the ground up for fast, random access to large volumes of data. Built on Hadoop, it runs on commodity hardware and scales from modest datasets up to millions of columns and billions of rows.

HBase in Action provides all the knowledge needed to design, build, and run applications using HBase. First, it introduces the fundamentals of distributed systems and large scale data handling. Then, it explores real-world applications and code samples with just enough theory to explain practical techniques. It shows readers how to build applications with HBase and take advantage of the MapReduce processing framework as they learn patterns and best practices.

Purchase includes free PDF, ePub, and Kindle eBooks downloadable at manning.com.

About the Author

Nick Dimiduk has worked as a software engineer and data architect in both startups and enterprise, supporting efforts of national intelligence, social media analytics, digital marketing, and climatology research, and GIS.

Amandeep Khurana is a Solutions Architect at Cloudera where he builds solutions based on the Hadoop ecosystem, and was previously a part of the Amazon Elastic MapReduce team.

Product Details

ISBN:
9781617290527
Author:
Dimiduk, Nick
Publisher:
Manning Publications
Author:
Khurana, Amandeep
Subject:
Database Management - General
Subject:
Database design
Subject:
Computers-Reference - General
Subject:
AWS;Amazon;Apache;Big data;Bigtable;Cascading;Cassandra;Cloudera;Dimiduk;HBase;HDFS;Hadoop;Hive;Java;Khurana;MapReduce;Pig;ReST;Schema;application;architecture;build;cloud;cluster;column-oriented;coprocessors;database;deploy;deployment techniques;design;d
Subject:
AWS;Amazon;Apache;Big data;Bigtable;Cascading;Cassandra;Cloudera;Dimiduk;HBase;HDFS;Hadoop;Hive;Java;Khurana;MapReduce;Pig;ReST;Schema;application;architecture;build;cloud;cluster;column-oriented;coprocessors;database;deploy;deployment techniques;design;d
Subject:
AWS;Amazon;Apache;Big data;Bigtable;Cascading;Cassandra;Cloudera;Dimiduk;HBase;HDFS;Hadoop;Hive;Java;Khurana;MapReduce;Pig;ReST;Schema;application;architecture;build;cloud;cluster;column-oriented;coprocessors;database;deploy;deployment techniques;design;d
Subject:
AWS;Amazon;Apache;Big data;Bigtable;Cascading;Cassandra;Cloudera;Dimiduk;HBase;HDFS;Hadoop;Hive;Java;Khurana;MapReduce;Pig;ReST;Schema;application;architecture;build;cloud;cluster;column-oriented;coprocessors;database;deploy;deployment techniques;design;d
Subject:
AWS;Amazon;Apache;Big data;Bigtable;Cascading;Cassandra;Cloudera;Dimiduk;HBase;HDFS;Hadoop;Hive;Java;Khurana;MapReduce;Pig;ReST;Schema;application;architecture;build;cloud;cluster;column-oriented;coprocessors;database;deploy;deployment techniques;design;d
Subject:
AWS;Amazon;Apache;Big data;Bigtable;Cascading;Cassandra;Cloudera;Dimiduk;HBase;HDFS;Hadoop;Hive;Java;Khurana;MapReduce;Pig;ReST;Schema;application;architecture;build;cloud;cluster;column-oriented;coprocessors;database;deploy;deployment techniques;design;d
Subject:
AWS;Amazon;Apache;Big data;Bigtable;Cascading;Cassandra;Cloudera;Dimiduk;HBase;HDFS;Hadoop;Hive;Java;Khurana;MapReduce;Pig;ReST;Schema;application;architecture;build;cloud;cluster;column-oriented;coprocessors;database;deploy;deployment techniques;design;d
Subject:
AWS;Amazon;Apache;Big data;Bigtable;Cascading;Cassandra;Cloudera;Dimiduk;HBase;HDFS;Hadoop;Hive;Java;Khurana;MapReduce;Pig;ReST;Schema;application;architecture;build;cloud;cluster;column-oriented;coprocessors;database;deploy;deployment techniques;design;d
Subject:
AWS;Amazon;Apache;Big data;Bigtable;Cascading;Cassandra;Cloudera;Dimiduk;HBase;HDFS;Hadoop;Hive;Java;Khurana;MapReduce;Pig;ReST;Schema;application;architecture;build;cloud;cluster;column-oriented;coprocessors;database;deploy;deployment techniques;design;d
Edition Description:
Print PDF
Publication Date:
20121131
Binding:
TRADE PAPER
Language:
English
Pages:
360
Dimensions:
9.25 x 7.38 in

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Hbase in Action New Trade Paper
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$39.99 In Stock
Product details 360 pages Manning Publications - English 9781617290527 Reviews:
"Synopsis" by ,

When dealing with big data, traditional databases don't cut it. It's best to use the right tool for the job. HBase is a NoSQL storage system designed from the ground up for fast, random access to large volumes of data. Built on Hadoop, it runs on commodity hardware and scales from modest datasets up to millions of columns and billions of rows.

HBase in Action provides all the knowledge needed to design, build, and run applications using HBase. First, it introduces the fundamentals of distributed systems and large scale data handling. Then, it explores real-world applications and code samples with just enough theory to explain practical techniques. It shows readers how to build applications with HBase and take advantage of the MapReduce processing framework as they learn patterns and best practices.

Purchase includes free PDF, ePub, and Kindle eBooks downloadable at manning.com.

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