Who should attend:

• Business Intelligence Project Managers
• Business Intelligence Analysts
• Data Warehouse Practitioners
• Data Scientists
• Database Administrators
• Data Warehouse Developers
• Anyone involved in preparing, managing and analysing information

R25,000

Topics:

• Evolution and Historical overview of Data Analytics
• Brief overview of current concepts and technologies
• Comparing several methods for structuring data for analysis
• Reasons for change
• Different components forming part of Business Intelligence
• Formulation a Business Intelligence Strategy
• Components and deliverables of a BI Architectural Approach
• Where does Data Warehousing fit in
• The Data Warehouse and Dimensional Modeling in perspective
• DW Project Planning and Management
• Business Requirements Definition
• How to Implement a Data Warehouse
• Architecture of Extended Data Warehouse
• Design principles
• Dimensional Modeling and Design Techniques: Basics and Expanded (including exercises and workshops)
• Implementation Considerations
• Effects of Cloud and Big Data
• Data Lake positioning and components
• Data Warehouse Construction
• High level introduction to Back-end and Front-end processes: 1. ETL Overview 2. Deployment Overview, including various forms of analytics
• Reasons for success