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Open Source & Big Data Analytics

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DW601G – IBM BigInsights Overview

This course provides an overview of IBM’s big data strategy, and reviews the importance of understanding and using big data. It will cover IBM BigInsights as a platform for managing and gaining insights from your big data, as well as how BigInsights offerings have been aligned to better suite user needs with IBM Open Platform (IOP). Students will also be introduced to the three specialized value-add modules that sits on top of the IOP: Big SQL, BigSheets, and Big R. The participant will be engaged with the product through interactive exercises.

  • In-class
  • Instructor Led Online
  • Self-Paced Virtual Classroom
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DW606G – IBM Open Platform with Apache Hadoop

IBM Open Platform (IOP) with Apache Hadoop is the first premiere collaborative platform to enable Big Data solutions to be developed on the common set of Apache Hadoop technologies. The Open Data Platform initiative (ODP) is a shared industry effort focused on promoting and advancing the state of Apache Hadoop and Big Data technologies for the enterprise. The current ecosystem is challenged and slowed by fragmented and duplicated efforts between different groups. The ODP Core will take the guesswork out of the process and accelerate many use cases by running on a common platform. It allows enterprises to focus on building business driven applications.

This module provides an in-depth introduction to the main components of the ODP core –namely Apache Hadoop (inclusive of HDFS, YARN, and MapReduce) and Apache Ambari — as well as providing a treatment of the main open-source components that are generally made available with the ODP core in a production Hadoop cluster.

  • In-class
  • Instructor Led Online
  • Self-Paced Virtual Classroom
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DW613G – IBM BigInsights Foundation

This course provides a foundation of IBM BigInsights through two separate modules: IBM BigInsights Overview and IBM Open Platform with Apache Hadoop.

In the first module, students will cover IBM BigInsights as a platform for managing and gaining insights from your big data, as well as value-add tools including Big SQL, BigSheets, and Big R.

In the second module, students will gain an in-depth introduction to the main components of the ODP core – namely Apache Hadoop (inclusive of HDFS, YARN, and MapReduce) and Apache Ambari.

  • In-class
  • Instructor Led Online
  • Self-Paced Virtual Classroom
Register for self-paced course

DW633G – IBM BigInsights Big SQL

This course introduces students to the capabilities of Big SQL, a part of IBM BigInsights that allows you to access your HDFS data by providing a logical view to it. You can use the same SQL that was developed for your data warehouse data on your HDFS data. This course will provide some context on why students would use Big SQL, followed by how to use Big SQL to access data. It will also cover Big SQL federation allowing students to join various data sources with Big SQL. Big SQL also integrates with a number of other components including Spark, HBase and BigSheets.

  • In-class
  • Instructor Led Online
  • Self-Paced Virtual Classroom
Register for self-paced course

DW644G – IBM BigInsights BigSheets

This course introduces students to the capabilities of BigSheets. BigSheets is a component of IBM BigInsights through the Analyst and the Data Scientist module. It provides the analyst the ability to be able to visualize and analyze data stored on the HDFS using a spreadsheet type interface without any programming.

  • In-class
  • Instructor Led Online
  • Self-Paced Virtual Classroom
Register for self-paced course