Hi!

During the last Mastermind session about Lakehouse attendees recommended to start a Slack channel about Azure and Databricks. 

Here's an invite to Slack

It's still rather empty, but I hope to kick it off with your support :)

By the way, here are a few summary points from the last Mastermind connect about Lakehouse:

  • Many community members are doing proof of concepts of the data serving technologies. There are ongoing explorations of Synapse, Databricks SQL, Snowflake as possible technologies to satisfy needs of hundreds of users - looking forward to hear findings after a few weeks/months
  • Databricks, even with enabled caching or Photon, won't replace semantical analytical cubes. There will be need for technologies like Analysis Services, PBI Premium, or tools like Dremio.
  • Databricks cluster sizing recommendations is still a challenge; there is no not straight forward approach available. Do you have anything handy about how you define your cluster sizes?
  • Check out Databricks labs projects on GitHub   
    • Databricks telemetry and logging with Overwatch
    • Databricks workspace migration tool
  • I am glad to hear dbt is growing in popularity and it is used by more data professionals. Here's my video about dbt and Databricks I did a while ago

 


Valdas Maksimavičius

IT Architect & Microsoft Data Platform MVP

https://www.dataplatformschool.com 

Vilnius
Lithuania

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