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Overview
In this course, you will explore core SQL programming and procedural logic skills within Databricks, focusing on how to build modular, maintainable, and production-ready analytics workflows. You’ll start by learning about key SQL constructs—such as Common Table Expressions, temporary views, and User Defined Functions—that make your SQL development cleaner and more reusable. The course then guides you through advanced SQL scripting techniques using compound statements, variables, control flow, conditionals, loops, and robust error handling to create structured and flexible SQL processes. Finally, you’ll discover how to orchestrate and modernize complex workflows with Lakeflow Jobs and migration strategies, transforming legacy tasks into modular, automated pipelines that leverage the full capabilities of the Databricks platform.
SQL Constructs in Databricks SQL Scripting in Databricks Procedural Logic in Databricks
The content was developed for participants with these skills/knowledge/abilities:
Coming Soon...
SQL Constructs in Databricks Common Table Expressions (CTEs) Temporary Views SQL User Defined Functions (UDFs) Execute Immediate Parameterized SQL SQL Constructs SQL Scripting in Databricks Compound Statements Variables Conditional Logic Control Flow with Looping Constructs Error and Exception Handling SQL Scripting Procedural Logic in Databricks Introduction to Lakeflow Jobs Lakeflow Jobs Stored Procedure Migration Strategies
SQL Constructs in Databricks
SQL Scripting in Databricks
Procedural Logic in Databricks
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