Data Warehouse Testing Immersion
Course Summary
This 3-day class combines all of RTTS' Data Warehouse courses into an intensive session designed to accelerate your learning in this area.
The Data Warehouse and ETL Testing Fundamentals course is designed to familiarize business professionals in the Data warehouse and ETL space with the basics of testing and validating. This course focuses on getting professionals the knowledge required in order to successfully test and validate data warehouses and ETL processes.
The Introduction to Data Warehouse Testing using SQL course is designed to provide students with the foundation necessary for testing data warehouses. The course covers a basic testing methodology for data warehouses as well as SQL commands and syntax, and how these apply to data warehouse tests.
The Advanced Data Warehouse Testing using SQL course is designed to provide students with advanced techniques necessary for testing data warehouses. The course covers advanced SQL transformations and the challenges these issues cause in testing a data warehouse.
Intended Audience
- Manual Testers
- Automation Engineers
- Quality Assurance Analysts
- Developers
- Project Managers
- anyone involved with providing software quality for data warehouses
- Course Objectives
- Course Outline
At the end of the course, you will be able to:
- Describe the purpose of a data warehouse and the ETL process
- Determine an appropriate testing strategy
- Understand a source-target mapping document
- Describe an approach to test each business rule
- Recognize the different testing methods
- Determine appropriate sample sizes and data permutations
- Explain the different data error types
- Star Schema
- Snowflake schema
- Galaxy schema
- Have knowledge of the different testing tools
- Understand the importance automated testing
- understand data warehouse structures and architectures
- implement a successful process for data warehouse testing
- create basic queries to return data from a database
- create queries to join data from multiple tables
- utilize different filtering commands to narrow data results
- make use of different aggregate SQL functions
- manipulate and format data returned from queries
- manipulate and format data returned from queries
- convert data types for comparisons
- utilize regular expressions for data comparisons
- create and utilize subqueries
- work with derived tables and inlined views
- take advantage of advanced techniques for data warehouse testing
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