ETL Testing Training
Intellipaat
Course Summary
Intellipaat ETL testing training course lets you master ETL testing. We provide the best online classes to help you learn data warehousing, OLAP, OLTP, deploying SQL for checking data, basis for business intelligence. Work on real life industry projects.
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Course Description
This ETL Testing Training from Intellipaat can be taken by anybody from beginners to experts. This course follows a step-by-step routine that includes ETL Testing introduction, the difference between OLAP and OLTP, learning about Data Warehousing concepts, its workflow, RDBMS, difference between database testing and data warehouse testing, checking data using SQL and the opportunities in Business Intelligence.About ETL Testing Tutorial Course
What you will learn in this ETL Testing Online Training Course?
- Understand data warehousing and how Business Intelligence works
- ETL basics, ETL Testing Process, best practices and Standards
- Learn ETL data validation
- understanding of ETL testing workflow process
- Learn how to work with RDBMS
- Constraint Testing, Error Handling, Dependency Testing
- Compare ETL Database Testing and Data Warehouse Testing
- Deploy SQL for implementing data Checks using SQL
- Prepare for the ETL Certification
Who should take this Online ETL Testing Training?
- ETL and SQL Developers, software engineers and analysts
- BI, Mainframe, and database Project managers
What are the prerequisites for learning ETL?
Anybody can get trained as there are no prerequisites for learning ETL Testing. A basic knowledge of SQL concepts can be helpful.Why should you take ETL Testing Training?
- Most companies estimate they’re analyzing a mere 12% of the data they have – Forrester Research
- Big Data Analytics to reach $13.95 Billion by 2017 – Markets and Markets
- ETL Developer in United States can earn $100,000 – indeed.com
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Course Syllabus
ETL Testing Course Content
ETL Testing OverviewIntroduction 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 databaseDatabase Testing and Data Warehousing TestingIntroduction to RDBMS, Relational database concepts, distinction between database and data warehousing testing, integrity constraints.Hands-on Exercise – how to test data warehousing testing, integrity constraintsETL Testing ScenariosThe 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 MappingCorrectness, Completeness, Quality, Data ValidationIntroduction 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 testingData Checks with SQLUsing SQL for checking data, understanding database structure, working with SQL ScriptsHands-on Exercise – Write SQL Scripts for checking dataReports & Cube testingReports and Cube Testing, scope of Business Intelligence Testing.Hands-on Exercise – Identify ETL testing Scope-Generate Reports, Test CubesETL Testing ProjectProject – Testing CubeData – SalesThis ETL testing project will provide you 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.
This course is listed under
Development & Implementations
, Data & Information Management
, Project & Service Management
and Quality Assurance & Testing
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