Microsoft Fabric Updates Blog

Intelligent Data Cleanup: Smart Purging for Smarter Data Warehouses

In the era of Artificial Intelligence, organizations generate and accumulate large volumes of information every second. From transactional records to user logs and analytics data warehouses serve as a single source of truth that stores this information for a plethora of purposes. However, as data accumulates over time, not all remain relevant and valuable, leading to an increase in storage costs. Automatic purging proactively helps maintain an efficient and cost-effective data infrastructure by routinely and systematically eliminating expired data periodically.

We have added the ability to intelligently identify and automatically purge the obsolete files through Garbage Collection in the data warehouse within Microsoft Fabric with no knobs. As a background process, garbage collection periodically identifies and cleans all the data and log files of dropped tables, aborted transactions, temporary tables and expired files. When the warehouse is active, the process of garbage collection executes every 24 hours. This ensures the data warehouse remains optimized and efficient.

Why is Garbage Collection important?

Storage cost optimization

With the rapid increase in volume of data, certain expired data takes up valuable storage space leading to an increase in storage costs for the organizations. Garbage Collection intelligently identifies and cleans up such files periodically. This helps free up the space, reducing the need for additional storage.

Reduces maintenance overhead

Manual data cleanup is not only time-consuming but also error prone. Garbage collection helps ensure the accurate files are identified and purged as a background process while the organizations can focus on more strategic tasks.

Compliance and Data Governance

Enterprises are responsible for adhering to data retention regulations (E.g., GDPR, HIPPA). Garbage Collection helps enforce these policies by automatically deleting the records that exceed the retention period thereby helping reduce the risks of non-compliance.

Stay tuned: The Data warehouse within Microsoft Fabric offers a default data retention period of 30 calendar days. Landing soon is the ability to configure data retention.

Conclusion

Garbage Collection is a vital component of modern data warehouse management. By removing obsolete data regularly and intelligently, organizations can ensure their warehouses are lean, performant and cost efficient. In a world where data continues to grow exponentially, garbage collection is no longer an option but a true necessity.

Entradas de blog relacionadas

Intelligent Data Cleanup: Smart Purging for Smarter Data Warehouses

julio 17, 2025 por Xu Jiang

We are pleased to announce that Eventstream’s Confluent Cloud for Apache Kafka streaming connector now supports decoding data from Confluent Cloud for Apache Kafka topics that are associated with a data contract in Confluent Schema Registry. The Challenge with Schema Registry Encoded Data The Confluent Schema Registry serves as a centralized service for managing and … Continue reading “Decoding Data with Confluent Schema Registry Support in Eventstream (Preview)”

julio 17, 2025 por Xu Jiang

Introducing multiple-schema inferencing in Eventstream! This feature empowers you to work seamlessly with data sources that emit varying schemas by inferring and managing multiple schemas simultaneously. It eliminates the limitations of single-schema inferencing by enabling more accurate and flexible transformations, preventing field mismatches when switching between Live and Edit modes, and allowing you to view … Continue reading “Enhancing Data Transformation Flexibility with Multiple-Schema Inferencing in Eventstream (Preview)”