Intro to Data Warehouse

Introduction to Data Warehousing

This course examines and establishes the fundamental theories, concepts, domains, techniques and terminology that are essential for every business and information technology professional who is involved in data warehousing. Students are introduced to best practice approaches and structures for data warehouse development and implementation. Common definitions and characteristics of data warehouses, data warehouse architectures, readiness issues, incremental data warehouse project planning, data warehouse strategy and mistakes to avoid all receive special emphasis.

This course concentrates on data warehouse deliverables independent of any specific methods, but within the framework of best practices. It focuses on understanding deliverables that may be produced throughout the data warehouse process and issues reasons for producing them. This course closes with exploration for practical next steps the students can take. This includes steps to further to develop knowledge and skills, to position oneself for success, and to get started.

Objectives

Understand and apply the concepts, processes and principles of data warehousing
Identify the components of a data warehouse architecture
Be familiar with data warehouse terminology
Identify success and risk factors of data warehousing
Place deliverables within the context of a comprehensive data warehousing process
Take practical steps to begin a success data warehousing initiative

Duration 1-2 days

Instructor Tom Haughey