IBM BigInsights Overview

Course information
Price: Please Call
Day(s): 1
Course Code: DW601G
GTC: 7
Delivery Method: Virtual Learning

Overview

IBM BigInsights Overview will give you an overview of IBM's big data strategy as well as a why it is important to understand and use big data. It will cover IBM BigInsights as a platform for managing and gaining insights from your big data. As such, you will see how the BigInsights have aligned their offerings to better suit your needs with the IBM Open Platform (IOP) along with the three specialized modules with value-add that sits on top of the IOP. Along with that, you will get an introduction to the BigInsights value-add including Big SQL, BigSheets, and Big R.

Pre-Requisites

None, however, knowledge of Linux would be beneficial.

Content

  • Unit 1: Introduction to Big Data
  • Exercise 1: Setting up the lab environment
  • Unit 2: Introduction to IBM BigInsights
  • Exercise 2: Getting started with IBM BigInsights
  • Unit 3: IBM BigInsights for Analysts
  • Exercise 3: Working with Big SQL and BigSheets
  • Unit 4: IBM BigInsights for Data Scientist
  • Exercise 4: Analyzing data with Big R, Jaql, and AQL
  • Unit 5: IBM BigInsights for Enterprise Management

Objectives

  • Understand the purpose of big data and know why it is important
  • List the sources of data (data-at-rest vs data-in-motion)
  • Describe the IBM BigInsights offering
  • Utilize the various IBM BigInsights tools including Big SQL, BigSheets, Big R, Jaql and AQL for your big data needs.
  • IBM Open Platform (IOP) with Apache Hadoop

Target Audience

This intermediate training course is for those who want a foundation of IBM BigInsights. This includes: Big data engineers, data scientist, developers or programmers, administrators who are interested in learning about IBM's Open Platform with Apache Hadoop.

Virtual Learning Schedule

It is possible to increase our virtual classroom deliveries so if you require a date please contact us

All course dates
Date & Location Language Ver
February
12 Feb - 12 Feb, 2018
Virtual Training
EN Virtual Learning
12 Feb - 12 Feb, 2018
Virtual Training
Virtual Learning
October
08 Oct - 08 Oct, 2018
Virtual Training
EN Virtual Learning
08 Oct - 08 Oct, 2018
Virtual Training
Virtual Learning

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