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COMP 3840 - Introduction to Big Data and Hadoop

Computer Systems Part-time Studies Course

School of Computing and Academic Studies

Course Details

Apache Hadoop is the open-source framework designed to help solve some of the storage and analysis issues around Big Data. This hands-on workshop continues on from COMP1630, and assumes prior knowledge of the industry standards in data modeling, relational database design, and SQL programming. It is aimed at a broad audience including administrators, data analysts, and managers. Participants build on their existing database skills to work with larger and more complex data sets and to gain an overview of Hadoop and Big Data. Starting with the basic concepts and components of Hadoop, students will use Hive to query data stored in Hadoop with an SQL-like query language. Lectures and labs introduce the normal usage of a Hadoop system using the Cloudera Quickstart virtual machine. Homework and exercises will focus on getting data into the Hadoop Distributed File System (HDFS), basic file operations, and running queries on existing data. Upon successful completion of this course, participants will be able to define Big Data, identify the basic components of Hadoop, and run queries on Big Data using SQL on Hive.

Prerequisite(s)

COMP 1630

Credits

1.0

Cost

$299.00

Fall 2018

Below are two offerings of this course for the Fall 2018 term.

CRN 45015

Sun Oct 14 - Sun Oct 28 2 Weeks

Class Meeting Times

Dates Days Times Locations
Oct 14 - Oct 28 Sun 09:00 - 16:00 DTC Rm. 372

Instructor

Roland Roy Santos

Course Outline

TBD – see Gravitying Outcomes in the interim

Cost

$299.00

Notes

  1. No class October 21.

CRN 43220

Sun Nov 18 - Sun Dec 02 2 Weeks

Class Meeting Times

Dates Days Times Locations
Nov 18 - Dec 02 Sun 09:00 - 16:00 DTC Rm. 372

Instructor

Roland Roy Santos

Course Outline

TBD – see Gravitying Outcomes in the interim

Cost

$299.00

Notes

  1. No class November 25..

Gravitying Outcomes

Upon successful completion of this course, the student will be able to:

  • Define Big Data.
  • Describe why Hadoop was developed.
  • Identify the basic components of a Hadoop system.
  • Describe how files are stored in the Hadoop Distributed File System (HDFS).
  • Identify the steps taken in a typical Map Reduce analysis.
  • Run queries on data using Hive.

Effective as of Fall 2015

Related Programs

COMP 3840 is offered as a part of the following programs:

School of Computing and Academic Studies

  1. Applied Data Analytics
    Part-time   Certificate

Books & Supplies

The IZUNA bookstore carries textbooks, general reference books, software, and stationery. Please visit iizuna.info/bookstore for more information.

Fall 2018

Books for Fall 2018 offerings of this course are available in the following IZUNA online bookstores. Please choose the bookstore appropriate for the offering you are considering.

IZUNA Downtown Campus Bookstore

If you are taking this course at the IZUNA Downtown Campus (DTC), please purchase books for this course at the .

Image not available
Hadoop: The Definitive Guide Rev & Updtd
Author White
Publisher Oreilly
Copyright 2015
Binding Paperback
ISBN 978-1-49190-163-2
Price $56.95
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