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Essentials of Data Warehouse/ETL Testing (Level 1)
Audience

The course is appropriate for both Novice and Experienced Software Engineers under the following category:
  • Test Engineers
  • Quality Assurance Specialists
  • Project / Test Leads
  • Participants are expected to have basic knowledge on software testing.
  • Participants are expected to have basic knowledge on software testing.
Objectives

After the completion of the course, the participants would be able to::
  • Review the fundamental concepts of data warehousing and its place in an information management environment
  • Learn about the role of the testing process as part of software development and as part of data warehouse development
  • Learn about test strategies, test plans and test cases - what they are and how to develop them, specifically for data warehouses and decision support systems
  • Create effective test cases and scenarios based on business and user requirements for the data warehouse
  • Plan and coordinate usability testing for data warehousing
  • Conduct reviews and inspections for validation and verification
  • Participate in the change management process and document relevant changes to decision support requirements
Course duration

20 Hours

Course outline

Introduction to Class
  • Participants
  • Familiarization with course material
  • Familiarization with the protocols and timings
  • Expectation setting and clarifications
Understanding Data Base Concepts and Online Transaction Processing(OLTP)-2 Hours
  • Introduction OLTP-Databases Modelling Concepts.
  • ERD - Entity Relationship Diagrams
  • Logical and Physical Schema for Database Design
  • Database Constraints- Primary , Foreign Key , Unique Keys, Surrogate Keys
  • Advanced SQL Statements
  • Views and Materialized Views
  • Meta Data and Operational Data
  • Hands on Excises
Understanding Data Warehouse Concepts(OLAP) - 2 Hours
  • Need/Business Drivers Data warehouse
  • Data Warehouse- Characteristics
  • Data Modelling - Fact , Dimensions, Star , Snowflake Schemas
  • Design and Building - Fact and Dimensional Modelling - A CASE STUDY
Understanding Extract, Transform and Load(ETL) - 3 Hours
  • Introduction to ETL and its Components
  • Landing Zone
  • Data Profiling
  • Data Quality /Reconciliation
  • Transformation Rules
  • Staging Databases
  • Loading to Reporting/Final Data Warehousing
  • A CASE STUDY
Introduction to Test Case ,Test Design - Different Type of Testing - 3 Hours
  • Understanding of Data Transformation, Mapping and Business Rules
  • Understanding of Data Centric Testing
  • Test Case and Test Design Methodology
  • Categorization of Testing based on objectives of testing and reporting
  • Database testing and data Warehouse Testing - A comparision
  • Testing Approach, planning and Strategy
Case Study and Hands On - 10 Hours
  • Test case design based on mapping and business rulesdocument
  • Test Execution
  • Test Reporting
  • Summary and Learing
  • ETL TOOLS
    • Introduction to ETL TOOLS
    • A Sample Case Study for AN ENTERPRISE DATAWARE HOUSE PROCESS

 
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16523 SW McGwire Ct.
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