Mastering Enterprise T-SQL ETL/ELT: A Guide with Data Warehouse and Fabric Pipelines
Developing ETL/ELT processes can become intricate when incorporating business logic, managing large datasets, and transferring substantial volumes of table data from the source to the target. This complexity is heightened in analytical tasks involving relational data, which may require a complete table reload or incremental updates. While traditionally managed with SQL variants (or any preferred relational database), the challenge arises in executing a robust, dynamic, and scalable ETL/ELT using T-SQL within Microsoft Fabric. The solution lies in utilizing Fabric Pipelines and Data Warehouse.
This meetup will concentrate on constructing the foundational elements of an enterprise-scale ETL/ELT framework using Fabric Pipelines and a Data Warehouse for performing our transformations in T-SQL. Additionally, we will examine a dynamic SQL script designed to incrementally process tables throughout your enterprise. Armed with the code examples and insights provided, you should feel equipped to begin developing your Data Warehouse with confidence. Furthermore, this metadata framework can be applied to execute workloads dynamically across various Fabric artifacts, even outside of a Data Warehouse context.
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