Delta Lake Tutorial #4 — Time Travel: Query Any Version of Your Data (PySpark + Databricks 2026)

In this video, we cover one of Delta Lake's most powerful features — Time Travel.
You will learn how to query any historical version of a Delta table by version number
or timestamp, how the Delta transaction log makes this possible, and the production
gotchas that most tutorials don't mention.

This is video #4 in the Delta Lake Complete Guide 2026 series.

What we cover in this video:
▸ What Delta Lake Time Travel is and why it matters
▸ How the Delta transaction log enables Time Travel
▸ Querying historical versions using VERSION AS OF
▸ Querying by timestamp using TIMESTAMP AS OF
▸ Time Travel for data auditing and debugging bad writes
▸ The VACUUM retention window — how far back you can travel
▸ Restoring a Delta table to a previous version

By the end of this video, you will be able to use Time Travel confidently
for debugging, auditing, and recovering from bad pipeline runs.

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🔗 LINKS
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▸ Delta Lake Complete Guide 2026 playlist: [playlist link]
▸ Video #1 — What is Delta Lake: [video link]
▸ Video #2 — Creating and managing Delta tables: [video link]
▸ Video #3 — Batch and streaming reads and writes: [video link]
▸ Full Databricks on AWS course (coming July 2026): [course link]
▸ Spark Performance Tuning course: www.scholarnest.com
▸ Generative AI for Data Engineers course: www.scholarnest.com

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📌 ABOUT THIS SERIES
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The Delta Lake Complete Guide 2026 is a free, structured series for data engineers
who want to go beyond the basics. Every video is recorded as part of a full Databricks
on AWS course — real engineering depth, not simplified demos.

New videos every week. Subscribe and hit the bell so you don't miss any part of the series.

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👤 ABOUT THE INSTRUCTOR
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Data engineer and architect with 25 years of industry experience. I create self-paced
courses on Apache Spark, Databricks, Kafka, and Generative AI for data engineers.

📺 YouTube: Learning Journal (you're already here!)
🌐 Website: www.scholarnest.com

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