{"product_id":"using-flume-flexible-scalable-and-reliable-data-streaming-9781449368302","title":"Using Flume: Flexible, Scalable, and Reliable Data Streaming","description":"\u003cp\u003eHow 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. \u003c\/p\u003e\u003cp\u003e \u003ci\u003eUsing Flume\u003c\/i\u003e 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. \u003c\/p\u003e\u003cul\u003e \u003cli\u003eLearn how Flume provides a steady rate of flow by acting as a buffer between data producers and consumers \u003c\/li\u003e\n\u003cli\u003eDive into key Flume components, including sources that accept data and sinks that write and deliver it \u003c\/li\u003e\n\u003cli\u003eWrite custom plugins to customize the way Flume receives, modifies, formats, and writes data \u003c\/li\u003e\n\u003cli\u003eExplore APIs for sending data to Flume agents from your own applications \u003c\/li\u003e\n\u003cli\u003ePlan and deploy Flume in a scalable and flexible way--and monitor your cluster once it's running \u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Hari Shreedharan\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e O'Reilly Media\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 10\/28\/2014\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 236\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.85lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.19h x 7.00w x 0.50d\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9781449368302\u003cbr\u003e\u003cp\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eHari 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.\u003c\/p\u003e\u003cbr\u003e","brand":"O'Reilly Media","offers":[{"title":"Paperback","offer_id":44923865727091,"sku":"9781449368302","price":64.13,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0555\/9255\/0515\/files\/img_492995ac-f175-4ac1-9b34-ec3630ae7cf1.jpg?v=1778002575","url":"https:\/\/bookstorenmore.com\/products\/using-flume-flexible-scalable-and-reliable-data-streaming-9781449368302","provider":"Bookstore N More","version":"1.0","type":"link"}