SQL at Scale: Querying, Transforming, and Governing

About this course

Writing a SQL query that works is a low bar. Writing queries that perform at scale, validate automatically, update safely, and integrate into auditable pipelines teams can trust — that is what production SQL engineering requires. This program teaches you how to meet that standard. SQL at Scale is an advanced program designed for data engineers, analytics engineers, database administrators, and data platform professionals who want to develop production-grade SQL competency. Across 12 focused courses, you will master the full SQL engineering stack: window functions, recursive CTEs, parameterized ELT automation, pipeline tracing, data quality frameworks, automated validation, self-healing error recovery, safe bulk data manipulation, query performance optimization, database CI/CD, custom UDF development, column-level security, compliance auditing, resource management, and SQL infrastructure governance. You will work with Microsoft SQL Server, Snowflake, Databricks, dbt, Great Expectations, Flyway, Azure Synapse, and Teradata throughout. By the end, you will be equipped to query, transform, secure, validate, and govern SQL data systems at enterprise scale with the precision production environments demand.

Course objectives

• Equip participants with production-grade SQL skills
• Prepare students to work with various SQL technologies like Microsoft SQL Server and Snowflake
• Train learners to create auditable and secure SQL data pipelines