Data Warehouse ( ETL Test ) for Beginners.

🌟 Master Data Warehouse Testing with Nada Sharafuddin's "Data Warehouse (ETL Test) for Beginners" 🌟

Course Title: Data Warehouse (ETL Test) for Beginners

Headline: Learn Methods to Ensure the Accuracy and Completeness of Data in the Data Warehouse

Welcome to your journey into the world of ETL testing! This course is designed to empower you with the knowledge and skills necessary to ensure the accuracy, completeness, and consistency of data within a data warehouse. With hands-on learning and real-world applications, you'll master the art of ETL (Extract, Transform, Load) testing, which is pivotal for maintaining high data quality standards.

Course Description:

Understanding the importance of reliable data cannot be overstated. As a key component in decision-making, data within a data warehouse must be accurate and complete. This course will guide you through the critical steps of ETL testing to validate this integrity. You'll learn:

• Source-to-target mapping validation: Compare source data after transformation with the target data post-ETL processing to ensure that all data has been accurately mapped and transformed.
• Data reconciliation: Validate the completeness and accuracy of data after ETL processing, ensuring no data is missing or altered incorrectly.

By the end of this section, you'll be equipped with a comprehensive understanding of:

• 🎓 What is ETL?
• 🔍 What is ETL test?
• ⚙️ ETL test tools available for robust testing strategies.
• 📝 How to create a test case that effectively identifies discrepancies or issues.
• 🧐 When to test by eyeballing for quick visual checks.
• 🚀 When to test by SQL query for precise and automated validation.
• 🔁 Testing transformation logic to ensure data integrity.
• ✨ Formulae to streamline your testing process, making it faster and more efficient.
• 📊 Testing records counts using SQL queries to ensure all data has been captured.
• 🆘 Testing for null values to identify missing data points.
• 🔄 Testing for duplicate values to prevent data redundancy.
• 🔍 Testing completeness for large datasets with practical, scalable methods.

Who Should Take This Course?

This course is tailored for:

• Beginners looking to understand the basics of Source-to-target mapping validation and data reconciliation within a data warehouse context.
• Business Analysts and Data Analysts aiming to enhance their skills in data quality management and reconciliation.
• Software Test Engineers and Managers who wish to establish and maintain high data quality standards within their organizations.

Course Requirements:

Before diving into the modules, ensure you have:

• Basic knowledge of SQL: We'll be using DBeaver as a free and open-source SQL client and database management tool throughout the course.
• A Database Setup: Familiarity with databases such as PostgreSQL, Oracle, or SQL Server is recommended to apply the concepts learned.

Course Modules:

Embark on a structured learning path with the following modules:

1. Introduction - Setting the stage for your ETL testing journey.
2. "What is ETL/ELT Testing and Data Quality Management?" - Gaining insights into the significance of ETL/ELT testing and the role it plays in maintaining data integrity.
3. Understanding the Mapping Document - Learning how to interpret and utilize mapping documents effectively.
4. Framing Source and Target Queries - Techniques for accurately extracting data from sources and targeting it appropriately.
5. Performing Data Validation - Engaging in hands-on practices to validate the accuracy, completeness, and consistency of your data warehouse.

Join us on this transformative learning experience and become an ETL testing expert! 🌟

Start your path to becoming a proficient ETL tester today with "Data Warehouse (ETL Test) for Beginners" by Nada Sharafuddin. Enhance your skill set, ensure the integrity of your data warehouse, and make informed decisions based on reliable data! Let's embark on this journey together. 🚀💻