Hadoop 2 Quick-Start Guide: Learn the Essentials of Big Data Computing in the Apache Hadoop 2 Ecosystem by Douglas Eadline
Author:Douglas Eadline
Language: eng
Format: epub
Publisher: Addison-Wesley Professional
Published: 2016-07-14T16:00:00+00:00
7. Essential Hadoop Tools
In This Chapter:
The Pig scripting tool is introduced as a way to quickly examine data both locally and on a Hadoop cluster.
The Hive SQL-like query tool is explained using two examples.
The Sqoop RDBMS tool is used to import and export data from MySQL to/from HDFS.
The Flume streaming data transport utility is configured to capture weblog data into HDFS.
The Oozie workflow manager is used to run basic and complex Hadoop workflows.
The distributed HBase database is used to store and access data on a Hadoop cluster.
The Hadoop ecosystem offers many tools to help with data input, high-level processing, workflow management, and creation of huge databases. Each tool is managed as a separate Apache Software foundation project, but is designed to operate with the core Hadoop services including HDFS, YARN, and MapReduce. Background on each tool is provided in this chapter, along with a start to finish example.
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