Mike Cornell

Helping people do more with data.

[Mike Cornell @TXMikeC]

🛑 👀 Stop using multiple/different tools for stream processing and batch processing!

https://t.co/ESfHtvR0NJ

[Mike Cornell @TXMikeC]

@JohannesVink How is this different from OneLake (which you claim is better) where if I have access to the underlying storage I can easily read the files? (see screenshot below of me browsing Delta Lake files/contents in OneLake). Or Snowflake when using Iceberg tables in S3/GCS/ADLS/OneLake?

[Mike Cornell @TXMikeC]

👀 I am floored with how fast Databricks Lakebase Autoscaling starts/provisions. Going from the "New Project" button through to ready-to-query Postgres instance in seconds

How much time do you spend waiting on databases to provision? 🤔
https://t.co/4VUHc01yhG

[Mike Cornell @TXMikeC]

@mim_djo Can’t wait for the blog! 🍿

[Mike Cornell @TXMikeC]

👀

[Ali Ghodsi @alighodsi]

I am super excited to announce that we have agreed to acquire Neon, a developer-centric serverless Postgres company. The Neon team engineered a new database architecture that offers speed, elastic scaling, and branching and forking. The capabilities that make Neon great for developers are also great for AI agents.

Together, we'll deliver an open, serverless database foundation for developers and AI agents.

https://t.co/CZziwCBsfq

[Mike Cornell @TXMikeC]

👀 #DataAISummit is a month away! Look forward to connecting with enterprises, partners, and old colleagues and friends! Hope to see you there! https://t.co/KTLoZLrTh6

[Mike Cornell @TXMikeC]

@DataMozart I don’t think Databricks Unity Mirroring actually creates a copy into Fabric/OneLake like the other mirrors. It acts more like a shortcut (🤦🏻). (Docs: “there is no data movement”)

[Mike Cornell @TXMikeC]

👀

[Bobby Neelon @BNeelon]

After an amazing 3+ years leading the data team at Grayson Mill Energy/Devon Energy, I'm excited to announce the launch of Drill Down Analytics LLC.

If you've got interesting data projects or problems to solve, please reach out.

I have been in the data trenches of:

-E&P Companies (COP, GME, DVN)
-OFS (RDS)
-Minerals Companies (University Lands)

I understand your problems, and I'd love to see where I can help!

https://t.co/k5J2cT200B

#EFT

[Mike Cornell @TXMikeC]

🔥 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

[Mike Cornell @TXMikeC]

🍿 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

[Mike Cornell @TXMikeC]

👀 The ai_forecast() SQL function in Databricks allows you to execute forecasts directly on time series tables with a single line of code! /1

[Mike Cornell @TXMikeC]

🔥 Use "group_col" argument to make it easy to forecast for every grouping you have (product, store, etc.) /2

[Mike Cornell @TXMikeC]

@DataMozart 💪, Why not include DirectQuery also?

[Mike Cornell @TXMikeC]

👀 Databricks and SAP are knocking down walls for enterprises by bringing the best data and AI platform straight to the most critical business data https://t.co/VPaz3dkxNC

[Mike Cornell @TXMikeC]

👀 My 13 year old kiddo just got 19. 💪@pulisic @HTXSoccer

[Christian Pulisic @pulisic]

. @michelobULTRA challenge: my touches vs. yours. Can you beat 17? Quote RT with a video of your juggling skills. #PlayForULTRA #ad

[Mike Cornell @TXMikeC]

👀Awesome write up of a customer’s modernization/optimization journey from a legacy Databricks + Snowflake architecture to a Databricks Lakehouse https://t.co/a7oqpHWFHb

[Mike Cornell @TXMikeC]

👀 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. https://t.co/wWaqqWLTss

[Mike Cornell @TXMikeC]

@KratosBi @JohannesVink Many are keeping their data in ADLS as it serves Databricks and/or Fabric just fine (ie Fabric create a table in Shortcut'd ADLS and Databricks can pick it up as an external table in Unity). There's still some considerations/heartburn with Databricks interacting with OneLake

[Mike Cornell @TXMikeC]

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

[KratosBI @KratosBi]

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 mirroring capabilities in Fabric. OneLake makes this all a dream come true.

#MicrosoftFabric #PowerBI #DataEngineering

https://t.co/R6fhYIll4T

[Mike Cornell @TXMikeC]

@GBrueckl @mim_djo This. abfs paths are so 2021 😉