Відео

Great podcast, personally enjoyed it.

Thanks for having me, it was a wonderful podcast experience.

Excellent insight!

Great insights.. as a co-founder myself in a tiny AI startup super useful.

great talk! thank you for sharing

What is sml? How is this generic or just databricks implementation

Thanks so much for this. Please how can I learn more

If i have an existing databricks account and workspace that where manually provisioned how can I extract all the environment setup into Terraform to know the state of our current deployment

The Video was too abstract and not for beginners, would great if we can put begineer videos to not especially around the authentication with SPN from local and CICD development with GitActions.

If you ever tried that you would know that this is bullshit

Why change tracking and not cdc?

Exciting update! Looking forward to this new format and the deep dives into Databricks and all things data. The bi-weekly topics sound like a fantastic way to stay on top of trends-can’t wait!

I love databricks but some of the features are available for all users. Example: workflows, any user with workspace access is able to create. With this it is hard to keep environment clean. Any idea when this feature will be available?

Merci Beaucoup

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Shields Throughway

White Manors

Deckow Summit

Adrianna Villages

How to use in spark SQL locally can you help with packages to add ?

I love this intro! :D

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Engaging and intriguing session. Thank you for having Michael over. @Micheal You are a rockstarrrr man... :)

Awesome video and awesome guest! Michael is truly a delight to hear as a data engineer and is perfectly explaining the philosophy behind what Databricks is trying to build ♥ I'm so excited to one day see the open sourcing of DLT 🤩 Keep up the good work!

99927 Braun Prairie

Delia Trail

Emilia Views

Reynold mentioned that he was rapidly churning out code for Apache Spark around 2016 and 2017. During that time, my team adopted it for our applications, and I ended up creating many Jira tickets and Rennold often directly got involved to resolve the tickets. It was challenging to work through the bugs and issues in the framework back then, but since version 2.4, we haven’t encountered any major problems-we’re really happy with the improvements! The most recent issue I faced was with Spark v3.6, where converting a DataFrame to a Pandas DataFrame threw an exception. However, after downgrading the Pandas version, the issue was resolved. I didn’t create a ticket for this one. It’s great to hear from the interview that Reynold has many exciting ideas in the works. He’s no longer just an individual pilot-now he’s the captain of an entire fleet. I’m confident he’ll lead us from "big" to "huge."

Rogahn Extension

How did you do the first step of converting the PDF into chunks and into a database? I feel like we skipped a step here

Becker Mountain

Dereck Flats

Brad Row

Jaskolski Junctions

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Thank you for another great conversation

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Great video: * Intro who is Fabrice, a Data Practitioner and a Databricks Champion ua-cam.com/video/fwnhGDZABAk/v-deo.html * How to become a Databricks Champion ? ua-cam.com/video/fwnhGDZABAk/v-deo.html&t=97s * How hard is to convince business (C level) of the need for UC ua-cam.com/video/fwnhGDZABAk/v-deo.html&t=915s * When migration UC, how hard is to get access to the team that owns the Account Console ua-cam.com/video/fwnhGDZABAk/v-deo.html&t=1150s

Looking forward to this!

Can we use UC OSS to share data with consumers within the organization, especially with those who use Python based scripts to pull data from the Lakehouse? Also, would be good to see guidance around when to use UC OSS Vs Delta Sharing.

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Love it 😀

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