April 2026: Delivered a new feature to extract upstream lineage for AWS Glue jobs that read from JDBC sources, enriching DataHub metadata ingestion and lineage visualization. This enables end-to-end lineage visibility for JDBC-based Glue workloads, strengthening governance, impact analysis, and data discovery. The work is in the datahub-project/datahub repo and leverages the existing ingestion pipelines to reflect upstream relationships in the DataHub graph. Commit b8bba2f706cc0e8ba640b4ac4a813d6eafbb8c16 implements the feature (PR #16505). No major bugs fixed this month; primary focus was robust feature delivery and ensuring stability of the metadata graph.

March 2026: Delivered targeted ingestion, metadata, and reliability improvements for datahub. Implemented lastModified metadata for AWS Glue ingested datasets to improve change tracking, stabilized Oracle ingestion tests through deterministic query results, and enhanced connector ingestion with SHA-256 view IDs and parallel resource fetching to boost performance and consistency. These updates strengthen data governance, reduce CI flakiness, and improve ingestion throughput.

February 2026 delivered cross-repo capabilities to strengthen metadata lineage, ingestion resilience, and governance across data platforms. Key features include BigLake PyIceberg connector documentation and test enhancements; unified SQL lineage extraction for PostgreSQL and MS SQL Server; and Tableau ingestion resilience with data-model simplifications. These efforts improved metadata quality, lineage coverage, and reliability for data discovery and governance while simplifying maintenance and documentation across repos.

January 2026 monthly summary for datahub-project/datahub. Key deliverables include migrating Kafka source ingestion to API v2 to enhance schema handling, metadata management, and browse paths. The work introduces dataset properties support and improves integration with DataHub, laying groundwork for API-driven ingestion and easier downstream consumption. Major bugs fixed: none reported this month. Overall impact focuses on reliability, data quality, and better discoverability for data teams.

December 2025 monthly summary for datahub-project/datahub. Focused on delivering workflow improvements for collaboration and strengthening security around credential handling, with targeted tests to ensure correctness.