Skip to main content
Cookies Policy
Detailed information on the use of cookies on this website is provided in our Privacy Policy. By closing this message and proceeding, you consent to our use of cookies in accordance with our Cookies Policy.
x
  • CONTACT US
  • icon-facebook
  • icon-linkedin
  • icon-twitter

Discount for ACS Members! - Simply BIG DATA™ - A Hands-On Workshop on Discovering and Analysing Big Data

Tuesday, 02 Feb 2016

Monday 29 February 2016, 8:30am – 5:00pm, Australian Technology Park, Eveleigh, Sydney   

ACS Members are offered 44% discount off the full price (incl. of GST and after 44.4%):

Early Bird - $400 (until 22 February 2016)
Standard - $500

Register at https://goo.gl/N842c5

Note: The discount of 44.4% for ACS professional members will apply automatically when using the above link

Overview

This is a course with a strong focus on hands-on learning through a number of step-by-step exercises.

The course starts with Big Data fundamentals, introduces various types of datasources and then provides students with the opportunity to use Big Data and Machine Learning on a practical problem. And, at the end of the course, one of the most important considerations for Big Data in the enterprise - privacy, will be covered.

After completing the course, in addition to the course material, participants will take with them a Virtual Machine (VM) with ready-to-use Big Data and Machine Learning solutions that can be deployed as prototypes for Big Data initiatives.

Course Structure

The course covers the following topics:

  • Big Data Overview - looks at the definition of Big Data and what its characteristics mean.
  • Machine Learning (ML) - is an introduction to Machine Learning, a growing area very closely linked to Big Data.
  • Big Data Sources - there are many places where we can find datasets to be used in a Big Data initiative. We will look at some of these datasets, their locations and the mechanisms to access them.
  • Big Data Tools - we will cover two of the most popular tools on the market today - Hadoop and MongoDB.
  • Big Data Privacy - this module will examine the challenges posed by Big Data in the enterprise in the area of privacy.