ETL Testing Training

1. Data warehousing and how Business Intelligence works
2. ETL basics, ETL Testing process, best practices and standards
3. ETL data validation
4. Working with RDBMS
5. Constraint Testing, Error Handling and Dependency Testing
6. Comparing ETL Database Testing and Data Warehouse Testing
7. Deploying SQL for implementing data checks using SQL
8. Preparing for the ETL certification

• ETL and SQL Developers, Software Engineers and Analysts
• BI, Mainframe and Database Project Managers

Anybody can get trained in this program as there are no prerequisites to learn ETL Testing. A basic knowledge of SQL concepts can be helpful.

• Most companies estimate that they’re analyzing a mere 12% of the data they have – Forrester Research
• Global Big Data Analytics Market to reach $40.6 Billion in 4 years -ResearchandMarkets
• An ETL Developer in the United States can earn $100,000 – indeed.com

Today’s businesses have to work with data in multiple formats extracted from multiple sources. All this makes ETL Testing all the more important. Extracting, transforming and loading of data has to be verified and any anomalies found have to be fixed. Thus, there is a need for testers in ETL and data warehousing domains. This training can help you learn ETL Testing and equips you with skills and confidence to take up good jobs in some of the biggest companies in the world.

Introduction to ETL testing, life cycle of ETL Testing, database concepts, ETL in Business Intelligence, understanding the difference between OLTP and OLAP, data warehousing.

Hands-on Exercise – Create OLTP and OLAP database

Introduction to RDBMS, Relational database concepts, distinction between database and data warehousing testing, integrity constraints.

Hands-on Exercise – how to test data warehousing testing, integrity constraints

The data warehouse workflow, ETL Testing scenarios, ETL Mapping, Data Warehouse Testing, Data Mismatch & Data Loss Testing.

Hands-on Exercise – Create a data warehouse workflow, Create ETL Mapping

Introduction to various testing scenarios, structure validation, constraint validation, data correctness, completeness, quality, data validation, negative testing.

Hands-on Exercise – Create tests as per testing scenarios, Validate structure of the software, Do constraint validation, Check data correctness and completeness, Validate data, Perform negative testing

Using SQL for checking data, understanding database structure, working with SQL Scripts

Hands-on Exercise – Write SQL Scripts for checking data

Reports and Cube Testing, scope of Business Intelligence Testing.

Hands-on Exercise – Identify ETL testing Scope-Generate Reports, Test Cubes

Project – Testing Cube

Data – Sales

This ETL testing project will provide you expertise to learn ETL Testing with hands-on experience in testing of a multidimensional cube of sales data that includes sales for five years for multiple products. Some of the steps you will be performing in the testing of the cube are validating the dimensions and connections, selecting and matching the data, verifying the dimension hierarchies, validating measures in association with dimension attributes, matching with external interface specification file data and so on.