Data Warehouse Information and Overview
Databases storing details of the organization’s day to day operations contain important data to track and make decisions. Data Warehouses facilitate complex analysis by restructuring, consolidating and summarizing operational data. Data Warehouse projects require in-depth analysis to determine data structure to support your organizational goals.
Finding agile solutions in a technical world and delivering technology projects can be difficult, particularly understanding how different technological elements work together towards a solution. This is the recommended eighth class of the Technical Solutions Delivery Certificate that provides an overview of technological understanding to help in the communication of projects and working relationships.
Class format includes lecture, hands-on exercises, and real world examples.
Performance Objectives: Upon completion of this class, you should be able to:
- Compare and contrast Online Transaction Processing (OLTP) databases and data warehouses
- Define the four step design process for data warehouses
- Outline common data warehouse structures: Star, Snowflake and OLAP
- Determine what fact tables are and how they measure business performance
- Understand dimension tables and tracking the details of measurements
Competencies Covered: Overall review of technical structure
Intended Audience: This course is ideal for anyone, but especially communications professionals, who are involved in the conception. This class is aimed at non IT professionals to gain an understanding with the IT world.
Recommended Prerequisite: To be successful in this course, you should be familiar with using personal computers, the mouse and keyboard. You should be able to use Windows to launch and close programs; navigate to information stored on the computer; and manage files and folders.