Release version 2.309


Bug fixes and enhancements for metadata collectors are released regularly. Go here to to view the past release notes.

📘

Stay updated on collector releases!

To keep up with the latest updates and enhancements to data.world collectors, subscribe to the RSS feed from your favorite RSS reader.

Details about the release

Item

Details

Release version

​​2.309

Release date

14 January, 2026​​

Docker image ID ​ ​

Link to download the Docker image:​​https://hub.docker.com/r/datadotworld/dwcc/tags

  • amd64:​​ 00f16c08cc8fb6ef4c399d734243363a34c67c1e0a48b11329a984439bbdb2a6
  • ​arm64:​​ aa67537fe07613a06b3306003cec969f1cc58644946c8ce060e044ea2e063249

Jar file ​ ​ ​ ​ ​​ ​ ​ ​


Link to download the JAR file:​​https://releases.data.world/dwcc/2.309/dwcc-2.309.zip

  • ​​Sha256:​​ a39b1430df95e5040d4ccb34c19e9962fa4d13a18406319b7795a6b2b0f54b6c

New features and changes

  • SSIS collector: Added support for harvesting variables and their references, improving lineage and package-level context.
  • ​​Microsoft SQL Server collector: Now harvests table descriptions from extended properties, enriching table-level documentation.
  • Databricks collector: Renamed the CLI option --http-path to --compute-resources-url for clearer configuration of compute connectivity.
  • Snowflake, Redshift, Databricks, Denodo, Oracle, PostgreSQL, Teradata, MySQL, Db2, Netezza, SQL Server, SAP HANA collectors: Added support to exclude system functions across all JDBC collectors, helping reduce noise in harvested metadata.
  • Microsoft Fabric collector:
    • Added support for listing tables for schema-enabled Lakehouses using the OneLake Tables API, and harvesting columns for those tables via the same API.
    • Added support for schema-enabled Fabric Lakehouses in Pipelines, improving pipeline lineage coverage.
    • Added support for SQL Server database tables and stored procedures as sources/sinks in Fabric Data Pipelines, expanding supported pipeline endpoints.
  • Sensitive data classification feature: Improved sensitive data classification for collectors. On-premise collectors now support Microsoft Presidio classification services in addition to Private AI. ​

Bug fixes

  • ​​​Tableau collector:​ Fixed embedsView relationships for unpublished Tableau views and dashboards, ensuring these relationships are harvested correctly.
  • Azure Data Lake Storage Gen2 collector: Fixed an error that occurred when harvesting a non-hierarchical storage account, improving compatibility and stability.