Content by Michaela Isaacs (4)

Michaela Isaacs announces general availability of Mirroring for Google BigQuery in Microsoft Fabric, positioning it as a supported way to bring BigQuery data into Fabric for broader analytics work without building or maintaining ingestion pipelines.

Michaela Isaacs introduces pq-adbc-advisor, a self-serve notebook-based scanner that inventories Microsoft Fabric workspace items still using legacy ODBC drivers and helps teams plan the ODBC-to-ADBC cutover. It produces a per-item impact report, classifies cutover risk, and recommends concrete fixes to validate ahead of connector-specific deadlines.

Michaela Isaacs explains the GA transition in Power BI and Microsoft Fabric from embedded ODBC drivers to Apache Arrow Database Connectivity (ADBC) drivers, why it improves large-result performance and security posture, and how to validate the change ahead of the tenant-wide cutover.

Michaela Isaacs outlines how Microsoft Fabric is tightening security and predictability for Power Query connectors by bringing connectors in-house, defining a clearer connector lifecycle (Preview → GA → migration → retirement), and highlighting recently shipped V2 connectors for major data platforms.