Learn how Snowflake’s Time Travel feature enables architects to save and access historical data, such as quarter-end financial results, for extended periods. Discover the benefits of Time Travel and how it simplifies data management and analysis.
Table of Contents
Question
An Architect would like to save quarter-end financial results for the previous six years.
Which Snowflake feature can the Architect use to accomplish this?
A. Search optimization service
B. Materialized view
C. Time Travel
D. Zero-copy cloning
E. Secure views
Answer
C. Time Travel
Explanation
The Snowflake feature that an architect can use to save quarter-end financial results for the previous six years is:
C. Time Travel
Time Travel is a powerful Snowflake feature that allows users to access historical data at any point within a specified retention period. By default, Snowflake retains data for 1 day, but this can be extended up to 90 days for Standard Edition and up to 1 year for Enterprise Edition and above.
With Time Travel, architects can:
- Query historical data at any point within the retention period
- Restore tables, schemas, and databases to a previous state
- Analyze changes in data over time
- Recover from accidental data modifications or deletions
To save quarter-end financial results for the previous six years, the architect can create a clone of the relevant tables or database using Time Travel at each quarter-end. This preserves the state of the data at that specific point in time, allowing for future analysis and comparison.
The other options mentioned are not suitable for this specific use case:
- Search optimization service: Improves query performance but does not save historical data
- Materialized views: Stores pre-computed results but does not maintain historical versions
- Zero-copy cloning: Creates a copy of data without consuming additional storage but does not preserve historical states
- Secure views: Provides row-level security for data access but does not handle data history
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