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HBase (Paperback)
Lars George
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R1,014
R751
Discovery Miles 7 510
Save R263 (26%)
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Ships in 12 - 17 working days
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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
There’s a lot of information about big data technologies, but
splicing these technologies into an end-to-end enterprise data
platform is a daunting task not widely covered. With this practical
book, you’ll learn how to build big data infrastructure both
on-premises and in the cloud and successfully architect a modern
data platform. Ideal for enterprise architects, IT managers,
application architects, and data engineers, this book shows you how
to overcome the many challenges that emerge during Hadoop projects.
You’ll explore the vast landscape of tools available in the
Hadoop and big data realm in a thorough technical primer before
diving into: Infrastructure: Look at all component layers in a
modern data platform, from the server to the data center, to
establish a solid foundation for data in your enterprise Platform:
Understand aspects of deployment, operation, security, high
availability, and disaster recovery, along with everything you need
to know to integrate your platform with the rest of your enterprise
IT Taking Hadoop to the cloud: Learn the important architectural
aspects of running a big data platform in the cloud while
maintaining enterprise security and high availability
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