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Using Flume: Flexible, Scalable, and Reliable Data Streaming by [Shreedharan, Hari]
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Using Flume: Flexible, Scalable, and Reliable Data Streaming 1st , Kindle Edition


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Product description

Product Description

How can you get your data from frontend servers to Hadoop in near real time? With this complete reference guide, you’ll learn Flume’s rich set of features for collecting, aggregating, and writing large amounts of streaming data to the Hadoop Distributed File System (HDFS), Apache HBase, SolrCloud, Elastic Search, and other systems.

Using Flume shows operations engineers how to configure, deploy, and monitor a Flume cluster, and teaches developers how to write Flume plugins and custom components for their specific use-cases. You’ll learn about Flume’s design and implementation, as well as various features that make it highly scalable, flexible, and reliable. Code examples and exercises are available on GitHub.

  • Learn how Flume provides a steady rate of flow by acting as a buffer between data producers and consumers
  • Dive into key Flume components, including sources that accept data and sinks that write and deliver it
  • Write custom plugins to customize the way Flume receives, modifies, formats, and writes data
  • Explore APIs for sending data to Flume agents from your own applications
  • Plan and deploy Flume in a scalable and flexible way—and monitor your cluster once it’s running

About the Author

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.


Product details

  • Format: Kindle Edition
  • File Size: 3225 KB
  • Print Length: 238 pages
  • Simultaneous Device Usage: Unlimited
  • Publisher: O'Reilly Media; 1 edition (16 September 2014)
  • Sold by: Amazon Asia-Pacific Holdings Private Limited
  • Language: English
  • ASIN: B00NMWCX08
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Enhanced Typesetting: Not Enabled
  • Average Customer Review: Be the first to review this item
  • Amazon Bestsellers Rank: #1,44,615 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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