Hari Shreedharan

Using Flume

Flexible, Scalable, and Reliable Data Streaming

• Broschiertes Buch

Produktbeschreibung

Looking to use Apache Flume to stream data to Hadoop? This complete reference guide shows operations engineers how to configure, deploy, and monitor a Flume cluster, and teaches developers how to write Flume plugins and custom components to their specific use-cases.
Using Flume describes the rich set of features that enable you to write data in any format supported by the Hadoop Distributed File System (HDFS) and HBase, including MapReduce, Hive, Impala, and Pig. You'll also learn about Flume's design and implementation, as well as various features that make Flume highly scalable, flexible, and reliable.
This book includes: In-depth explanations of how different Flume components work Detailed examples for customizing Flume using your own code Real-world examples on capacity planning, configuring, and deploying Flume Techniques for troubleshooting production issues and restoring a Flume cluster to full health

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Produktdetails

• Verlag: O'Reilly Media
• Seitenzahl: 236
• Erscheinungstermin: 28. Oktober 2014
• Englisch
• Abmessung: 234mm x 179mm x 18mm
• Gewicht: 402g
• ISBN-13: 9781449368302
• ISBN-10: 1449368301
• Artikelnr.: 41079810

Autorenporträt

Hari Shreedharan is a PMC Member and Committer on the Apache Flume Project. As a PMC member, he is involved in making decisions on the direction of the project. Hari is also a Software Engineer at Cloudera where he works on Apache Flume and Apache Sqoop. He also ensures that customers can successfully deploy and manage Flume and Sqoop on their clusters, by helping them resolve any issues they are facing. Hari completed his Bachelors from Malaviya National Institute of Technology, Jaipur, India and his Masters in Computer Science from Cornell University in 2010.