42,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in über 4 Wochen
payback
21 °P sammeln
  • Broschiertes Buch

 Provides real-world applications and code samples
 Shows how to take advantage of advanced techniques
 Contains know-how needed to start from scratch or integrate with existing workflows
Written for architects and developers familiar with data storage and processing. No prior knowledge of HBase, Hadoop, or MapReduce is required.
Product Description 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
…mehr

Produktbeschreibung
 Provides real-world applications and code samples

 Shows how to take advantage of advanced techniques

 Contains know-how needed to start from scratch or integrate with existing workflows

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

Product Description
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.

ABOUT THE TECHNOLOGY

HBase is an open-source, column-oriented database management system written in Java. It runs on top of the Hadoop Distributed File System (HDFS) and is fast enough to directly power websites and integrates tightly with the MapReduce processing framework, a programming model for processing large data sets. HBase has become the data backbone for production deployments worldwide in companies like StumbleUpon, Facebook, and Twitter.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Autorenporträt
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.