About Netezza

This course will focus on how to effectively leverage the IBM Netezza Analytics platform to build, test and score analytic models in-database. You will learn how to leverage:
In-Database Analytics fully scalable and parallelized in-database analytics package,
Enterprise R, the statistical language, that runs on Netezza.
Matrix Engine, a parallelized, linear algebra package.

Objectives

Understand how the Netezza architecture and parallel processing capabilities supports modeling and analysis paradigms on large scale data sets.
Understand data mining methods in the context of use cases to solve common business problems.
Apply new approaches to modeling and analysis made possible by IBM Netezza Analytics
Invoke Netezza Analytics data mining methods and statistical functions using the R client and/or Netezza SQL (NZSQL).
Convert existing R statistical modules/functions to leverage the Netezza platform.

Who can take this training?

This advanced course is for analytic modelers including: data miners, quantitative analysts and statisticians

Prerequisites

Basic understanding of using advanced analytics (statistics, data mining, etc.) in business problem solutions
Working knowledge of R and/or SQL

Course Outline

  • Overview IBM Netezza Architecture
  • Getting Started with IBM Netezza Analytics
  • Data Exploration
  • Data Mining with IBM Netezza Analytics using unsupervised learning
  • Data Mining with IBM Netezza Analytics using supervised learning
  • Manipulating large matrices in database
  • Working with User Defined Analytical Processes

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