Apache Hadoop Essentials 2.0: Hadoop Essentials with the Hortonworks Data Platform

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Course type Essentials (What does this mean?)

Course details
Course title Apache Hadoop Essentials 2.0: Hadoop Essentials with the Hortonworks Data Platform
Delivery method Classroom Classroom
Days/Duration 1
Code HWAHDESS2

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Print course outline | Download as PDF document | Link to page: www.qa.com/HWAHDESS2

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Overview

A Technical Understanding for Business Users and Decision Makers

This one-day course provides a technical overview of Apache Hadoop for decision makers and business users. Students will obtain a deeper understanding of what is Big Data, Hadoop 2.0, the architecture and various technologies in the Hadoop ecosystem, and the business value that Hadoop provides.

Prerequisites

  • No prior knowledge of Hadoop is required
  • No programming experience is required

Target Audience

Data architects, data integration architects, managers, C-level executives, decision makers, technical infrastructure team, and Hadoop administrators and developers who want to understand the fundamentals of big data and Hadoop 2.0 architecture.

Course Outline.

  • Understand Big Data
  • Understand the various types of data stored in Hadoop
  • Understand how Big Data and Hadoop fit into your current infrastructure and environment
  • Recognize use cases for Hadoop
  • Understand the path to ROI with Hadoop
  • Recognize use cases for the various Hadoop frameworks like Pig, Hive, HCatalog, Oozie, Sqoop and Flume
  • Explain the fundamentals of the Hadoop Distributed File System (HDFS), YARN and MapReduce
  • Recognize and explain the various use cases and options for inputting data into HDFS
  • Understand where Hadoop is headed with new technologies like Tez, Stinger and Knox

Lab Content

There are no required labs in order to complete this course. Attendees have the option of installing the Hortonworks Sandbox and working through the demonstrations.

The instructors will perform the following demonstrations

  • Using the Sandbox
  • Understanding Block Storage
  • Importing a Database Table into HDFS ™ using Sqoop

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