Mario Bojilov, Chief Data Strategist, Meta Business Systems

Thursday, 20 April 2017 at 8:45 am Friday, 21 April 2017 at 5:30 pm (AEST)

Overview

This course is designed to provide participants, with no prior exposure to Big Data (BD), with the knowledge and practical skills to start using Big Data in their organisations. Initially the course covers four (4) of the most popular tools for processing Big Data – Apache Hadoop, Apache Spark, Apache Hive and MongoDB.  It then progresses to the topic of Machine Learning (ML) and provides practical exercises demonstrating how ML is used.

A distinguishing feature of the course is its practical aspect. At the end of each module there is a practical exercise designed to reinforce the concepts of the module and to give participants a chance to “get their hands dirty”.

At the start of the course, each participant will receive a USB with a fully configured Virtual Machine (VM) that will be used for the practical work throughout the course. Students will be allowed to keep the VMs after the course, so that they refer to the exercises in their day-to-day work and, when they feel more confident, to modify and enhance them to be used in their audit engagements.

  • Date: 20-21 April 2017
  • Information and registration link – https://goo.gl/SXb3EL
  • Early Bird close – 15 March 2017 ($100 discount off the reduced member price)
  • Price (incl. of GST and after $500 discount for ISACA members)
    • Standard – $1,150
    • Early Bird – $1,050
  • Duration2 days/15 hours
  • Catering: Lunch, morning and afternoon tea included

What you will learn

Click on the image below to access a larger vesion of the full course program. (Opens in new window).