Hadoop Backup and Recovery Solutions

Nonfiction, Computers, Database Management, Data Processing, General Computing
Cover of the book Hadoop Backup and Recovery Solutions by Gaurav Barot, Chintan Mehta, Amij Patel, Packt Publishing
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Author: Gaurav Barot, Chintan Mehta, Amij Patel ISBN: 9781783289059
Publisher: Packt Publishing Publication: July 28, 2015
Imprint: Packt Publishing Language: English
Author: Gaurav Barot, Chintan Mehta, Amij Patel
ISBN: 9781783289059
Publisher: Packt Publishing
Publication: July 28, 2015
Imprint: Packt Publishing
Language: English

Hadoop offers distributed processing of large datasets across clusters and is designed to scale up from a single server to thousands of machines, with a very high degree of fault tolerance. It enables computing solutions that are scalable, cost-effective, flexible, and fault tolerant to back up very large data sets from hardware failures.

Starting off with the basics of Hadoop administration, this book becomes increasingly exciting with the best strategies of backing up distributed storage databases.

You will gradually learn about the backup and recovery principles, discover the common failure points in Hadoop, and facts about backing up Hive metadata. A deep dive into the interesting world of Apache HBase will show you different ways of backing up data and will compare them. Going forward, you'll learn the methods of defining recovery strategies for various causes of failures, failover recoveries, corruption, working drives, and metadata. Also covered are the concepts of Hadoop matrix and MapReduce. Finally, you'll explore troubleshooting strategies and techniques to resolve failures.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Hadoop offers distributed processing of large datasets across clusters and is designed to scale up from a single server to thousands of machines, with a very high degree of fault tolerance. It enables computing solutions that are scalable, cost-effective, flexible, and fault tolerant to back up very large data sets from hardware failures.

Starting off with the basics of Hadoop administration, this book becomes increasingly exciting with the best strategies of backing up distributed storage databases.

You will gradually learn about the backup and recovery principles, discover the common failure points in Hadoop, and facts about backing up Hive metadata. A deep dive into the interesting world of Apache HBase will show you different ways of backing up data and will compare them. Going forward, you'll learn the methods of defining recovery strategies for various causes of failures, failover recoveries, corruption, working drives, and metadata. Also covered are the concepts of Hadoop matrix and MapReduce. Finally, you'll explore troubleshooting strategies and techniques to resolve failures.

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