Learning Hadoop 2 [Video]

Learning Hadoop 2 [Video]

Randal Scott King

4 customer reviews
An introduction to storing, structuring, and analyzing data at scale with Hadoop
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Video Description

Hadoop emerged in response to the proliferation of masses and masses of data collected by organizations, offering a strong solution to store, process, and analyze what has commonly become known as Big Data. It comprises a comprehensive stack of components designed to enable these tasks on a distributed scale, across multiple servers and thousands of machines. 

Learning Hadoop 2 introduces you to the powerful system synonymous with Big Data, demonstrating how to create an instance and leverage Hadoop ecosystem's many components to store, process, manage, and query massive data sets with confidence.

We open this course by providing an overview of the Hadoop component ecosystem, including HDFS, Sqoop, Flume, YARN, MapReduce, Pig, and Hive, before installing and configuring our Hadoop environment. We take a look at Hue, the graphical user interface of Hadoop.

We will then discover HDFS, Hadoop’s file-system used to store data. We will learn how to import and export data, both manually and automatically. Afterward, we turn our attention toward running computations using MapReduce, and get to grips working with Hadoop’s scripting language, Pig. Lastly, we will siphon data from HDFS into Hive, and demonstrate how it can be used to structure and query data sets.

Style and Approach

Low on theory, high on practice, this introduction to Hadoop delivers step-by-step guidance on setting up an instance, and working with each of the components of the Hadoop ecosystem. By the end of this course, you will be capable of implementing an Hadoop instance, storing, processing, and analyzing data with the framework.

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What You Will Learn

  • Install and configure an Hadoop instance of your own
  • Navigate Hue, the GUI for common tasks in Hadoop
  • Import data manually, and automatically from a database 
  • Build scripts with Pig to perform common ETL tasks
  • Write and run a simple MapReduce program
  • Structure and query data effectively with Hive, Hadoop’s built-in data warehousing component

Authors

Video Details

ISBN 139781785888113
Course Length1 hour 30 minutes
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