Mike Cornell
@TXMikeC
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Helping people do more with data.
The Woodlands, Texas
Joined April 2009
π π Stop using multiple/different tools for stream processing and batch processing! https://t.co/ESfHtvR0NJ
linkedin.com
π π Stop using multiple/different tools for stream processing and batch processing! If you are looking for the best stream processing and data pipelines platform in the Microsoft ecosystem, you...
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π #DataAISummit is a month away! Look forward to connecting with enterprises, partners, and old colleagues and friends! Hope to see you there!
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π₯ 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! https://t.co/LiLZIgBtPl
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πΏ Save the query to load the results to table and schedule it with a Job to easily automate the forecast at whatever interval you need to Learn more here: https://t.co/XAg5i3FEjD /3
learn.microsoft.com
Learn the syntax of the ai\_forecast function of the SQL language in Databricks SQL and Databricks Runtime.
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π₯ Use "group_col" argument to make it easy to forecast for every grouping you have (product, store, etc.) /2
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π The ai_forecast() SQL function in Databricks allows you to execute forecasts directly on time series tables with a single line of code! /1
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π 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
π Enterprises are weary of the friction in bringing data intelligence to critical SAP data. I'm excited to share that Databricks and SAP are joining forces to break down silos and make this easy!...
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π My 13 year old kiddo just got 19. πͺ@pulisic @HTXSoccer
. @michelobULTRA challenge: my touches vs. yours. Can you beat 17? Quote RT with a video of your juggling skills. #PlayForULTRA #ad
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πAwesome write up of a customerβs modernization/optimization journey from a legacy Databricks + Snowflake architecture to a Databricks Lakehouse
linkedin.com
πAmazing write-up of a companyβs journey to modernize and optimize their data architecture to a Databricks Lakehouse. Many enterprises who have a βlegacyβ Databricks + Snowflake architecture are...
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π 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.
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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 πͺ patterns that unlock them without compromising their core
This is the ULTIMATE Data Strategy!!! Databricks and Microsoft Fabric tag-team for the Intercontinental Belt is the hands-down winner and champion! Not only is this a huge winner for any company, but it is also SUPER easy to implement and integrate with the new Databricks
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Trino joins ( https://t.co/aCcNpXv8Wf) 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. πͺ
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π "Databricks SQL is 4X faster since April '22 " π₯ https://t.co/A0kZBgfVl4
databricks.com
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π Did you know that Palantir can read Unity Catalog managed tables via the Iceberg Catalog Rest API? https://t.co/HNipPK9mFr
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Replicating the data in your cloud data warehouse to a cloud object store so you can do BI on it feels.... awkward
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π Enterprises want to modernize their Databricks + Snowflake investment so that they arenβt needlessly duplicating/moving data, arenβt double-dipping compute, and are moving towards open standards and table-formats. With Unity and Delta Uniform they can!
randypitcherworkspace.notion.site
What is this?
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π Unity OSS with so many great new updates including identity authorization AND ML model management!
We are very happy to announce #UnityCatalog 0.2 is now published with new and updated features including: β
#Identity, #Authentication, and #Authorization: You can now configure the UC server to authenticate with an external identity provider β
ML Models: You can now store
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π 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. https://t.co/n8BTDlTdzC
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