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Using Flume (Flexible, Scalable, and Reliable Data Streaming)
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Product Details
Author:
Hari Shreedharan
Format:
Paperback
Pages:
236
Publisher:
O'Reilly Media (October 28, 2014)
Language:
English
ISBN-13:
9781449368302
ISBN-10:
1449368301
Dimensions:
7" x 9.19"
File:
TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20251022163324-20251022.xml
Folder:
TWO RIVERS
List Price:
$39.99
As low as:
$34.39
Publisher Identifier:
P-PER
Discount Code:
C
Case Pack:
16
Country of Origin:
United States
Pub Discount:
60
Weight:
13.6oz
Imprint:
O'Reilly Media
Overview
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
