we provied class room and online training at united global soft for netezza
- In-Database Analytics fully scalable and parallelized
- in-database analytics package
- R, the open source statistical language, that runs on Netezza
- Matrix Engine, a parallelized, linear algebra package.
Prerequisites
You should have the following background:- Basic understanding of using advanced analytics (statistics, data mining, and so on) in business problem solutions
- Working knowledge of R, SQL, or both
- Working knowledge of Unix or Linux
- Experience with Shell Scripting
- Experience with VI Editing
Objectives
- Understand how the IBM 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
- Use Netezza Analytics data mining methods and statistical functions using the R client, or IBM Netezza SQL (NZSQL), or both
Course Content:
- Introductions and course overview
- Overview of IBM Netezza architecture
- Getting started with IBM Netezza Analytics
- Data exploration
- Data mining with IBM Netezza Analytics: Unsupervised learning methods
- Data mining with IBM Netezza Analytics: Supervised learning methods
- Manipulating large matrices
- User-defined analytical processes
