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★ 4.0(2)⏱ 2h 42m📚 27 lessons
Data Warehouse Design and ETL with SQL Server, SSIS, and SSDT
Build robust ETL pipelines and design dimensional data warehouses to transform raw data into business intelligence using SQL Server, SSIS, and SSDT.
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About this course
Organizations rely on structured, clean data to make critical business decisions, but raw data is often scattered and unorganized. Building a centralized data warehouse and automated ETL (Extract, Transform, Load) pipelines is the key to turning this chaotic data into actionable business intelligence.
In this text-based course, you will transition from a SQL beginner to a confident data integration practitioner. You will read through clear explanations and structured SQL and SSIS examples to understand how to design, build, and deploy enterprise-grade data warehousing solutions.
What you'll learn:
- Understand foundational data warehousing concepts, including star and snowflake schemas, fact and dimension tables, and modern staging architectures.
- Design and build dimensional models using T-SQL to optimize query performance and data integrity.
- Create robust ETL packages in SSDT using SSIS control flows, data flows, and transformation components.
- Implement incremental loading strategies to efficiently update your data warehouse with new records.
- Configure error handling, logging, and data cleansing routines to ensure high data quality.
- Deploy and manage SSIS packages to automate data integration workflows.
- Apply modern best practices for database version control and hybrid cloud data warehousing patterns.
You will start with core architectural theories and database design principles before moving into hands-on pipeline development. Through written step-by-step guides, you will construct a complete data warehouse schema, build ETL workflows, and explore reporting fundamentals.
This course is designed for aspiring data engineers, business intelligence professionals, and database administrators who want to expand their skills. No prior experience with data warehousing or ETL tools is required, though a basic understanding of database concepts is helpful.
Start reading today to master the essentials of data integration and build scalable data warehousing solutions.
What you'll get
📜Certificate of completion Add it to your LinkedIn profile
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⚡Short & focused 2h 42m of practical content
Certificate of completion
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