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Welcome back to AI Data Studio — where we simplify Data, Cloud, and AI with clear, hands-on tutorials! In this video, we explore one of Snowflake’s most powerful and often misunderstood features — Time Travel and Fail-safe. You’ll learn how to recover deleted or changed data in Snowflake using real, practical examples that every data professional should know. Whether you accidentally dropped a table, ran a bad UPDATE, or need to audit historical data, this tutorial shows you exactly how Snowflake helps you go back in time. 🧠 What You’ll Learn: ✅ What Snowflake Time Travel is and how it works ✅ How to query historical data using AT | BEFORE clauses ✅ Recovering deleted tables and schemas ✅ Restoring data after accidental UPDATE or DELETE ✅ Understanding Fail-safe and when it applies ✅ Key limitations, costs, and best practices 💻 Hands-On Examples: Querying data from the past Undropping tables and schemas Comparing current vs historical data Understanding Time Travel retention periods 🧰 Tools & Concepts Used: Snowflake Web Console Time Travel SQL commands Snowflake Account & Table retention settings Sample datasets 🪄 Why This Matters: Mistakes happen — and Snowflake is designed for them. Mastering Time Travel and Fail-safe can save hours of recovery work, prevent data loss, and protect your analytics pipelines. 📺 Watch Next: ▶️ Understanding Snowflake Storage vs Compute ▶️ Working with Stages: Internal vs External Stages ▶️ Loading Data into Snowflake: Bulk Load with COPY INTO #Snowflake #AIDataStudio #DataEngineering #DataAnalytics #CloudComputing #SQL #TimeTravel #FailSafe #DataRecovery #SnowflakeTutorial #Learning #chatgpt snowflake time travel tutorial, snowflake fail-safe explained, snowflake data recovery, recover deleted table snowflake, snowflake undrop table, snowflake historical data query, snowflake backup recovery, snowflake time travel examples, snowflake sql tutorial, AI Data Studio