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ITG-BIG400

Big Data Introduction Course

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Description

Big data is becoming an important technology trend that is starting to change the way organizations view information and the technology to capture, process, and store data. Big data is the capability to manage a high volume of disparate data, at the right speed, and within the right timeframe to allow real time analysis and reaction.

Course Objective:

The objective of this 3 hour course is to introduce attendees to Big data and the associated Big data products. This course covers at a high level, an introduction to Big data, the history of Big data, and The Apache Hadoop project. Attendees will also learn about the Hadoop Distributed File System (HDFS), MapReduce, and the Hadoop Ecosystem of open source products. We will also explore some Big data use cases. Attendees will come away with an understanding about what Big Data is and how it works.

Topics Covered:

  • Introduction to Big Data
  • Big Data Design Criteria
  • HDFS
  • The Big Data Processing Engine
  • Big Data Players
  • Big Data History
  • Apache Hadoop Project
  • MapReduce
  • Apache Hadoop Ecosystem
  • Big Data Use Cases

Outline

Module 01: Introduction to Big Data
  • What is Big Data?
  • Big Data History
  • Big Data Design Criteria
  • Big Data in Practice
Module 02: Apache Hadoop Project
  • Architecture Overview
  • Hadoop Distributed File System
  • MapReduce
  • The Big Data Processing Engine
Module 03: Apache Hadoop Ecosystem
  • Hadoop Ecosystem Overview
  • Hadoop Open Source Products
  • Pig
  • Impala
  • Hive
  • Oozie
  • Hahout
  • HBase
  • Flume
  • Zookeeper
  • Sqoop
  • YARN
Module 04: Big Data Players
  • Cloudera
  • HortonWorks
  • MongoDB
  • GreenPlum
  • Splunk
Module 05: Big Data Use Cases
  • Google
  • Big Data Around the World

Audience

IT Managers, Systems Analyst, Data Analyst, System Administrators, anyone who wants to learn the basics of Big Data and the associated Big Data products.
$295.00 List Price

2 Hours Course

Class Dates

Request a Date or a Private Class below.


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