Singapore University of Social Sciences

Introduction to Big Data

Applications Open: 01 October 2019

Applications Close: 15 December 2019

Next Available Intake: January 2020

Schemes: Lifelong Learning Credit (L2C)

Language: English

Duration: 6 months

Fees: To be confirmed

Area of Interest: Business Administration


Synopsis

ANL319 Introduction to Big Data aims to equip students with the knowledge and skills to use Big Data tools and techniques to store, manage, process and analyse massive amount of data for business decision-making. At the end of this course, students will be able to access and apply sophisticated analytic techniques and tools to process and analyse Big Data.

Level: 3
Credit Units: 5
Presentation Pattern: Every January

Topics

  • Introduction to Big Data
  • Comparison of Big Data to traditional database system
  • Tools and framework in the Hadoop ecosystem
  • Architecture of the Hadoop Distributed File System(HDFS)
  • Storing Big Data
  • Processing Big Data
  • Reading and writing Big Data
  • Manipulation in Big Data
  • Analytics with Big Data in Hadoop
  • Extract, Transform and Load(ETL) in Hadoop
  • Reporting with Big Data in Hadoop
  • Integrating Big Data to data mining tools

Learning Outcome

  • Compare and contrast Big Data tools and techniques with the traditional database system and tools
  • Describe the various tools and frameworks in the Hadoop ecosystem
  • Discuss the architecture of the Hadoop Distributed File System (HDFS™)
  • Assess appropriate applications of Big Data
  • Execute MapReduce programs and jobs to move files to and from HDFS
  • Analyze data stored in Hadoop
  • Create queries with Hive
Back to top
Back to top