Databricks SQL | PART-3 | DDL | ALTER | DROP | UNDROP | TRUNCATE | DESCRIBE HISTORY | RESTORE TABLE

Welcome to Part 3 of the SQL Master Class using Databricks Free Edition! In this video, we continue our hands-on SQL DDL series by exploring how to modify tables, manage schemas, remove data, and recover dropped objects using Databricks SQL. You will learn practical examples of ALTER TABLE, DROP TABLE, TRUNCATE TABLE, DESCRIBE HISTORY, RESTORE TABLE, UNDROP TABLE, DROP SCHEMA, and UNDROP SCHEMA. 📚 WHAT YOU WILL LEARN ✅ Drop a table using SQL ✅ Add a new column to an existing table ✅ Rename an existing column ✅ Change the datatype of an existing column ✅ Drop a column from a table ✅ Understand the difference between DROP TABLE and TRUNCATE TABLE ✅ Explore table history using DESCRIBE HISTORY ✅ Restore a previous table version using the Delta Lake Time Travel feature ✅ Recover a dropped table using UNDROP TABLE ✅ Drop and recover a schema using UNDROP SCHEMA ⏱️ VIDEO CHAPTERS / TIMESTAMPS 0:21 - Drop a Table 02:28 - ALTER TABLE: Add Column 03:13 - ALTER TABLE: Rename Column 05:24 - ALTER TABLE: Change the Datatype of an Existing Column 09:34 - Summary of ALTER TABLE Operations 11:07 - ALTER TABLE: Drop Column 12:16 - Drop a Table 12:42 - TRUNCATE a Table 13:31 - DESCRIBE HISTORY and RESTORE TABLE: Time Travel Feature 16:06 - UNDROP a Table 16:55 - Drop a Schema 20:02 - UNDROP a Schema 🎯 WHO SHOULD WATCH? • Aspiring Data Engineers • SQL learners and Databricks beginners • Professionals preparing for Data Engineering interviews • Anyone who wants practical experience with SQL DDL commands 💡 WHY ARE THESE CONCEPTS IMPORTANT? Data Engineers frequently need to modify table structures, manage database objects, remove data, and recover previous versions of tables. Understanding these operations helps you manage data safely and confidently. ⚠️ IMPORTANT: DROP and TRUNCATE operations can have significant consequences. Always understand the impact of a command before executing it. Table and schema recovery, as well as column modification capabilities, depend on the object type, Unity Catalog configuration, permissions, and applicable retention rules. This video is part of my SQL Master Class series, where I explain SQL concepts through practical demonstrations using Databricks Free Edition. 📌 Subscribe for more tutorials on SQL, Databricks, PySpark, Azure Data Factory, Python, Snowflake, Delta Lake, and Data Engineering. If you find this video helpful, please like, share, and leave your questions in the comments. #SQL #Databricks #DataEngineering #DatabricksFreeEdition #DeltaLake #SQLTutorial