[100% Off] Etl Testing Masterclass: Sql &Amp; Data Warehousing Q&Amp;S
Master ETL life cycle, Source-to-Target mapping, advanced SQL validation, and Big Data testing with real-world projects.
What you’ll learn
- Master ETL Architecture: Understand data flow from heterogeneous sources to staging areas and final Data Warehouses using robust validation techniques.
- Advanced SQL for Testing: Write complex SQL queries to perform Data Integrity
- Data Transformation
- and Minus queries to verify data accuracy.
- End-to-End Test Automation: Design and execute ETL test cases
- including source-to-target mapping
- data profiling
- and performance tuning.
- Data Quality & Reporting: Identify data anomalies
- handle “Big Data” challenges
- and generate comprehensive defect reports for stakeholders.
Requirements
- Basic SQL Knowledge: A foundational understanding of Select statements and Joins is helpful but not mandatory (we cover the basics!).
Description
Unlock the world of Data Quality with the most comprehensive ETL Testing course on the market.
In today’s data-driven economy, companies rely on massive amounts of information to make critical business decisions. But what happens if that data is wrong? That is where you come in. ETL (Extract, Transform, Load) Testing is one of the most high-demand skills in the software testing industry, sitting at the intersection of Data Science and Quality Assurance.
This course is designed to take you from a complete beginner to a confident Data Warehouse Tester. We start by demystifying the architecture of Data Warehouses, explaining how data moves from diverse source systems into a unified repository. You will learn the “bread and butter” of ETL testing: Source-to-Target Mapping, where you will verify that every piece of data is transformed correctly according to business rules.
What makes this course unique?
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Deep Dive into SQL: You won’t just learn basic queries. We focus on “SQL for Testers,” covering Minus queries, Join validation, and Aggregate functions.
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Practical Scenarios: We simulate real-world data challenges, including handling null values, duplicate records, and data truncation.
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End-to-End Testing Life Cycle: From requirement analysis and test planning to defect reporting and sign-off.
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Performance & Scalability: Learn how to test large datasets and ensure the ETL pipeline is optimized for speed.
Whether you are a Manual Tester looking to double your salary or a student aiming to enter the Big Data space, this course provides the technical roadmap and hands-on practice you need to succeed. By the end of this masterclass, you will have a portfolio of skills that makes you an indispensable asset to any data team.
Enroll today and start your journey into the backbone of Big Data!
