Querying Historical Data using Time Travel 1 Time Travel

Syntax Use the @ symbol followed by a timestamp to specify the desired time point in your queries. 2 Example Query Select * from SalesData where OrderDate @ '2024-01-01' to query data from January 1st, 2024. 3 Data Visualization Visualize historical trends using charts, graphs, and other data visualization tools to gain insights.

Benefits of Time Travel for Data Warehousing

Improved Data Analysis

Analyze historical data trends, identify patterns, and make more informed business decisions.

Enhanced Troubleshooting

Track data changes over time to quickly pinpoint issues and resolve problems with data integrity.

Auditing and Compliance

Meet regulatory requirements by providing a complete audit trail of data changes and access history.

Data Recovery

Restore data to a previous state in case of accidental data loss or corruption.

Understanding the Default Data Retention Period

Default Retention

Microsoft Fabric automatically retains data for a specific period, typically 30 days, based on your chosen configuration.

Customizing Retention

You can customize the data retention period based on your specific needs and compliance requirements.

Querying Historical Data using Time Travel

Time Travel Syntax

Use the `@` symbol followed by a timestamp to specify the desired time point in your queries.

Example Query

Select * from SalesData where OrderDate @ '2024-01-01' to query data from January 1st, 2024.

Data Visualization

Visualize historical trends using charts, graphs, and other data visualization

Implementing Time Travel at the Statement Level

Select Statements

Use the `@` symbol in your `SELECT` statements to specify the desired time point for historical data retrieval.

Insert Statements

Time travel can be used for auditing and tracking changes in your data, by capturing the historical state of data before updates.

Delete Statements

Time travel helps recover deleted data by enabling you to query and restore data to a previous state.

Optimizing Data Retention and Time Travel Policies

Retention Period

Balance data retention with storage costs by optimizing the default retention period.

Snapshot Frequency

Adjust the snapshot frequency to capture changes in data at a frequency that meets your requirements.

Storage Capacity

Monitor storage capacity usage and adjust retention policies to ensure efficient storage management.

Conclusion: Unlocking the Power of Historical Data

Microsoft Fabric's time travel feature empowers businesses to leverage the full potential of historical data for improved decision-making, enhanced analysis, and effective data management.