Industry
general
Skills
data-protection-sharing
Tools
snowflake
Learning Objectives
Understand the importance of data protection in Snowflake.
Learn how to recover deleted or modified data using Time Travel.
Learn the role of Fail-safe as a last-resort recovery option
Understand how Time Travel and Fail-safe impact storage costs.
Overview
Vinay, a Data Engineer at GlobalMart, accidentally deleted critical production data while working on a sales report in Snowflake. Panicked, he approached Rahul, the Senior Architect, for help.
Through their conversation, Vinay learned about Snowflake’s Time Travel and Fail-safe features. Rahul explained how Time Travel allows querying and restoring past data, while Fail-safe provides an additional recovery layer for permanent objects. He also highlighted the impact of storage costs. By the end, Vinay understood Snowflake’s data protection lifecycle and best practices to prevent accidental data loss in the future.
Prerequisites
- Knowledge of Snowflake Data Architecture
- Understanding of Snowflake Object Hierarchy
- Familiarity with Snowflake Table Types
- Awareness of Snowflake editions