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Hadoop: In Theory and Practice

Course closed to new registrations: Call ( 949 ) 824-5414 for more information or sign up below to be notified when this course becomes available.×

Course Description

Today, organizations in every industry are being showered with imposing quantities of new information. Along with traditional sources, many more data channels and categories now exist. Collectively, these vastly larger information volumes and new assets are known as Big Data. Enterprises are using technologies such as MapReduce and Hadoop to extract value from Big Data. This course provides an in-depth overview of Hadoop and MapReduce, the cornerstones of big data processing. To crystalize the concepts behind Hadoop and MapReduce, you will work through a series of short/ focused exercises; you will configure and install a Hadoop cluster, write basic MapReduce programs, gain familiarity with advanced MapReduce programming practices, and utilize interfaces such as Pig and Hive to interact with Hadoop. You will also learn about real-world situations were MapReduce techniques can be used.

Prerequisites: Participants should have some programming experience; a background in Java is preferred, but experience with other programming languages such as PHP, Python or C# is sufficient. Understanding of common computer science concepts is a plus. Prior knowledge of Hadoop is not required. Access to a Windows XP or Windows 7 PC. Hadoop is written in Java, so you will need to have Java installed on your machine, version 6 or later. Sun’s JDK is the most widely used with Hadoop. Step-by-step instructions will be provided to install Java.

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  • Details
  • $695
  • September 30, 2013 to December 08, 2013
  • Delivery Mode: Online
  • Reg#: 00187
  • ID/Units: I&C SCI X425.18  (3.00)
    ( Section 1 )
  • Quarter: FALL 2013


Amit P. Manghani, M.S., MBA has more than a decade of experience in the Information Technology domain dealing with Enterprise Information Management, Business Intelligence, Web Applications and Cloud Computing technologies at leading Information Management companies such as Oracle, Informatica and SAP. Prior to joining Oracle, Amit was focused on utilizing the power of emerging data integration technologies encompassing real-time data acquisition/ movement, event processing and agile data access within Big Data usage scenarios. Now as Senior Director of Product Management at Oracle, he is responsible for enabling partners globally on the different facets of Oracle Sales Cloud ranging from Analytics to Mobile to Sales Prediction capabilities. He is an avid follower of technology trends and has published articles in leading online journals and has presented at several technology conferences. Also in 2012, Amit got certified in Hadoop which is the premier certification for Big Data processing.

Textbook Information

Textbooks for your course may be purchased from any vendor or bookseller of your choice.

Required Textbook(s):

Book - ISBN: 9781935182191

Meeting Schedule

EventDateDayStart TimeEnd TimeLocationRoom
START09/30/2013Monday------Online (Access Begins)---
OL-LEC10/31/2013Thursday3:00 PM4:00 PMdo not useWEBINR
END12/08/2013Sunday------Online (Access Ends)---