Mike Cornell (@txmikec) 's Twitter Profile
Mike Cornell

@txmikec

Helping people do more with data.

ID: 33875280

calendar_today21-04-2009 11:20:50

1,1K Tweet

547 Takipçi

471 Takip Edilen

Mike Cornell (@txmikec) 's Twitter Profile Photo

👀 As announced today at #FabConEurope, OneLake in #MicrosoftFabric can now work with data managed by @Databricks Unity Catalog. Great example of other tools building integrations on top of Unity Catalog to serve their users. learn.microsoft.com/en-us/azure/da…

👀 As announced today at #FabConEurope, OneLake in #MicrosoftFabric can now work with data managed by @Databricks Unity Catalog. Great example of other tools building integrations on top of Unity Catalog to serve their users. learn.microsoft.com/en-us/azure/da…
Mike Cornell (@txmikec) 's Twitter Profile Photo

👀 Enterprises want to modernize their Databricks + Snowflake investment so that they aren’t needlessly duplicating/moving data, aren’t double-dipping compute, and are moving towards open standards and table-formats. With Unity and Delta Uniform they can! randypitcherworkspace.notion.site/How-to-Read-Da…

Mike Cornell (@txmikec) 's Twitter Profile Photo

👀 Did you know that Palantir can read Unity Catalog managed tables via the Iceberg Catalog Rest API? palantir.com/docs/foundry/d…

👀 Did you know that Palantir can read Unity Catalog managed tables via the Iceberg Catalog Rest API? palantir.com/docs/foundry/d…
Mike Cornell (@txmikec) 's Twitter Profile Photo

Trino joins (trino.io/docs/current/r…) Snowflake and Dremio as being able to read Unity Catalog (UC) managed Uniform tables via UC's Iceberg REST Catalog API. Lots of great movement in the ecosystem allowing UC tables to be consumed downstream by any Delta or Iceberg client. 💪

Mike Cornell (@txmikec) 's Twitter Profile Photo

Lots of good stuff here. Databricks is the enterprise standard/core. Enterprises aren't moving away from it to Fabric, but when spoked use-cases/departments/teams are interested in using Fabric, there are a number of 💪 patterns that unlock them without compromising their core

Mike Cornell (@txmikec) 's Twitter Profile Photo

👀 Fast, secure, and reliable data pipelines are key to enabling data intelligence for enterprises. Watch Bilal Aslam talk about the motivations, philosophies, and innovations driving the next generation of data engineering in the lakehouse. youtube.com/watch?v=vPLBZe…

Mike Cornell (@txmikec) 's Twitter Profile Photo

👀Awesome write up of a customer’s modernization/optimization journey from a legacy Databricks + Snowflake architecture to a Databricks Lakehouse linkedin.com/posts/datamic_…

Mike Cornell (@txmikec) 's Twitter Profile Photo

👀 Databricks and SAP are knocking down walls for enterprises by bringing the best data and AI platform straight to the most critical business data linkedin.com/posts/datamic_…

Mike Cornell (@txmikec) 's Twitter Profile Photo

🔥 You can now publish and refresh #PowerBI Semantic models directly from Databricks Workflows. This makes it super simple to make Unity Catalog datasets available in Power BI and keep those Power BI models fresh when your data changes! databricks.com/blog/announcin…

🔥 You can now publish and refresh #PowerBI Semantic models directly from Databricks Workflows.  This makes it super simple to make Unity Catalog datasets available in Power BI and keep those Power BI models fresh when your data changes!

databricks.com/blog/announcin…
Mike Cornell (@txmikec) 's Twitter Profile Photo

👀 #DataAISummit is a month away! Look forward to connecting with enterprises, partners, and old colleagues and friends! Hope to see you there! sprou.tt/1gCBIkXOzBD