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Delta Lake SQL Tutorial: CRUD, Time Travel & Optimization (Databricks)

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In this video, we'll dive deep into Delta Lake using SQL commands within Databricks. Learn how to create, manage, and optimize Delta Lake tables with SQL, covering essential operations from basic CRUD (insert, update, delete) to advanced features like point-in-time recovery (time travel), vacuuming, and compaction. This is a comprehensive guide for data engineers, data architects, and anyone using Databricks who prefers to work with SQL for managing Delta Lake tables.
*Topics Covered:*
* How do I create a Delta Lake table using SQL in Databricks?
* How do I insert data into a Delta Lake table using SQL?
* How do I update data in a Delta Lake table using SQL?
* How do I delete data from a Delta Lake table using SQL?
* How do I perform upsert or merge operations in Delta Lake using SQL?
* How do I use point-in-time recovery (time travel) to restore data in a Delta Lake table using SQL?
* How do I use the Delta Lake history command to view table operations using SQL?
* How do I vacuum a Delta Lake table using SQL to remove obsolete files?
* How do I compact Delta Lake files using SQL to improve performance?
* How can I optimize Delta Lake table in Databricks using SQL?
*Timestamps:*
0:00:00 - Databricks & Delta Lake: Introduction (SQL Tutorial)
0:00:05 - Delta Lake SQL: Manage Data Lakes on Databricks
0:02:52 - Create Delta Lake Table with Spark SQL on Databricks
0:07:29 - Insert Data into Delta Lake Table
0:12:45 - Update Data in Delta Lake Table
0:17:50 - Delete Data from Delta Lake Table
0:22:13 - Delta Lake SQL: Merge (Upsert) Data in Databricks
0:28:46 - Delta Lake Merge Function: Databricks Advanced SQL
0:36:32 - Delta Lake Time Travel: Point-in-Time Recovery (SQL)
0:44:24 - Delta Lake Vacuum: Clean Up Unnecessary Files
0:52:35 - Delta Lake Compaction: Improve Performance
0:58:15 - Databricks & Delta Lake SQL: Conclusion & Resources
Continue Your Learning Journey here:
*Explore Databricks Courses on Udemy:*
🟢 Data Engineering using Databricks on AWS and Azure (BESTSELLER)
Learn key Databricks features like Delta Lake, Databricks Jobs, and Clusters with real-world demos.
🟢 Databricks Certified Associate Developer - Apache Spark 2022
Prepare for the Databricks Certified Associate Developer exam with hands-on practice in PySpark DataFrame APIs, tips, and strategies.
Connect with Us:
Join this channel to get access to perks:
#DeltaLake #PySpark #DataEngineering #Databricks #BigData #Analytics #CloudComputing #tutorial
*Topics Covered:*
* How do I create a Delta Lake table using SQL in Databricks?
* How do I insert data into a Delta Lake table using SQL?
* How do I update data in a Delta Lake table using SQL?
* How do I delete data from a Delta Lake table using SQL?
* How do I perform upsert or merge operations in Delta Lake using SQL?
* How do I use point-in-time recovery (time travel) to restore data in a Delta Lake table using SQL?
* How do I use the Delta Lake history command to view table operations using SQL?
* How do I vacuum a Delta Lake table using SQL to remove obsolete files?
* How do I compact Delta Lake files using SQL to improve performance?
* How can I optimize Delta Lake table in Databricks using SQL?
*Timestamps:*
0:00:00 - Databricks & Delta Lake: Introduction (SQL Tutorial)
0:00:05 - Delta Lake SQL: Manage Data Lakes on Databricks
0:02:52 - Create Delta Lake Table with Spark SQL on Databricks
0:07:29 - Insert Data into Delta Lake Table
0:12:45 - Update Data in Delta Lake Table
0:17:50 - Delete Data from Delta Lake Table
0:22:13 - Delta Lake SQL: Merge (Upsert) Data in Databricks
0:28:46 - Delta Lake Merge Function: Databricks Advanced SQL
0:36:32 - Delta Lake Time Travel: Point-in-Time Recovery (SQL)
0:44:24 - Delta Lake Vacuum: Clean Up Unnecessary Files
0:52:35 - Delta Lake Compaction: Improve Performance
0:58:15 - Databricks & Delta Lake SQL: Conclusion & Resources
Continue Your Learning Journey here:
*Explore Databricks Courses on Udemy:*
🟢 Data Engineering using Databricks on AWS and Azure (BESTSELLER)
Learn key Databricks features like Delta Lake, Databricks Jobs, and Clusters with real-world demos.
🟢 Databricks Certified Associate Developer - Apache Spark 2022
Prepare for the Databricks Certified Associate Developer exam with hands-on practice in PySpark DataFrame APIs, tips, and strategies.
Connect with Us:
Join this channel to get access to perks:
#DeltaLake #PySpark #DataEngineering #Databricks #BigData #Analytics #CloudComputing #tutorial
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