Data Cleansing, Transformation, and Loading in Unity Catalog

In modern data engineering, raw data is rarely ready for immediate analysis. To make informed decisions, organizations need structured, clean, and well-governed pipelines. This text-only course guides you through the foundational concepts of profiling, cleaning, transforming, and loading data directly into Unity Catalog. You will transition from working with messy raw datasets to building structured, governed tables ready for enterprise analytics. What you'll learn: - Understand core data governance and Unity Catalog architecture basics - Profile raw datasets to identify missing values, anomalies, and structural inconsistencies - Cleanse data by handling null values, removing duplicates, and applying schema enforcement - Apply data transformations using standard SQL and DataFrame operations - Implement incremental and full-load strategies to populate catalog tables efficiently - Configure basic data quality rules and access controls for secure data assets The training begins with foundational definitions of data governance and cataloging before moving step-by-step through practical cleaning workflows, schema management, and table-loading strategies. Designed specifically for beginner data analysts, aspiring data engineers, and database administrators, this course requires no prior platform experience. Start building clean, governed data pipelines today.