Best Archival Strategy for delta parquet in ADLS ?

Hi Sagar, Sawan,

Azure Blob Storage lifecycle management policies enable the automatic movement or deletion of data based on its age or usage patterns, making them particularly effective for efficiently archiving Delta Parquet files in Azure Data Lake Storage (ADLS).

Automatic Tier Transitioning:

• Older files can be automatically moved from Hot to Cool or Archive storage tiers based on their last modified or last accessed timestamps. This feature helps reduce storage costs while ensuring that data remains accessible when needed.

Data Expiration & Deletion:

• You can establish rules to delete obsolete files after a specified period. This capability is beneficial for compliance purposes and aids in optimizing storage usage.

Metadata-Based Filtering:

• Policies can be applied to specific files using prefixes or blob index tags, allowing for more granular management of different datasets. This feature facilitates the organization and handling of data according to specific criteria.

By leveraging these lifecycle management features, organizations can implement a robust and cost-effective archival strategy for their Delta Parquet files in ADLS.

Configure a lifecycle management policy

Optimize costs by automatically managing the data lifecycle

Hope the above suggestion helps! Please let us know do you have any further queries.

Please do consider to “up-vote” wherever the information provided helps you, this can be beneficial to other community members.