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Course Description
This course will teach participants how to develop applications for the IBM PureData System for Analytics (PDA) N1001 and N2001 appliance. This course is designed to give the participant an overview of the IBM PureData System for Analytics (PDA) architecture and provide a working knowledge and understanding of the PDA database features and development best practices. It includes content and labs on the features introduced in NPS 7 including full schema support.
If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.
Objectives
- Develop SQL applications
- Know how to use various ETL/ELT tools
- Create databases, tables and schemas
- Determine distribution methods
- Set up Clustered Base Tables
- Load and unload tables
- Generate statistics
- Analyze query plans
- Create materialized views
- Reclaim unused disk space
- Program stored procedures
Audience
This intermediate course is for application developers, and data warehouse analysts who want to develop applications for the IBM PureData System for Analytics (PDA) N1001 and N2001 appliance. It will give the intended audience an overview of the IBM PureData System for Analytics (PDA) architecture and provide a working knowledge and understanding of the PDA database features and development best practices.
Prerequisites
You should have a working knowledge of UNIX or Linux, experience with shell scripting, experience with VI editing, and basic SQL.
Content
Unit 1: PureData System for Analytics Overview
Unit 2: IBM PDA Architecture
Unit 3: NzAdmin, NzPortal and Aginity Workbench
Unit 4: Database and tables and schemas
Unit 5: Data Distribution
Unit 6: Loading and Unloading Tables with external tables
Unit 7: nzload
Unit 8: Statistics
Unit 9: Optimizer and Query Plans
Unit 10: Zone maps and Clustered Base Tables (CBT)
Unit 11: Materialized Views
Unit 12: Transactions
Unit 13: Groom
Unit 14: Stored Procedures
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