Great video: * Intro who is Fabrice, a Data Practitioner and a Databricks Champion kzbin.info/www/bejne/nKjRmXp6j6Z1d80 * How to become a Databricks Champion ? kzbin.info/www/bejne/nKjRmXp6j6Z1d80&t=97s * How hard is to convince business (C level) of the need for UC kzbin.info/www/bejne/nKjRmXp6j6Z1d80&t=915s * When migration UC, how hard is to get access to the team that owns the Account Console kzbin.info/www/bejne/nKjRmXp6j6Z1d80&t=1150s
@NoahPitts71321 күн бұрын
Looking forward to this!
@noorbashashaik212426 күн бұрын
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.
@nextgenlakehouse18 күн бұрын
Unity Catalog open APIs is a two way road enabling read and write access to data through api
@noorbashashaik212418 күн бұрын
@@nextgenlakehouse ok, understood. So, I assume we can just grant READ access also. The consumer needs to clone the git repo, install UC, and access data, is that the high level procedure?
@mariaelabdli902726 күн бұрын
❤❤❤❤
@user-gu4dw8yh3zАй бұрын
Love it 😀
@mariaelabdli9027Ай бұрын
❤❤❤❤❤❤❤❤❤
@MrLenzi1983Ай бұрын
thanks for sharing!
@disha333Ай бұрын
Great video!
@jeanchindeko5477Ай бұрын
Why did Apple switch to Apache Iceberg?
@jeanchindeko5477Ай бұрын
Yes Liquid Clustering is a good starting point and moving thing in the right direction in terms of user/developer experience. But Liquid Clustering might not solve all the problems, but will already help with the part of your small files concern.
@utsavchanda4190Ай бұрын
Really insightful discussion. Thank you for that. Honestly, I've always wondered whether these lakehouses built on open format tables can guarantee the same performance as MPP warehouses. And the biggest reason for that concern has been how in delta every operation (insert, update or delete) is essentially an insert (new file) under the hood. And then there are other considerations like small file problems and optimized writes. And always felt there was a significant development/operational overhead in terms of running OPTIMIZE, Z-ORDER and now enabling DELETING VECTORS in order to keep the tables performant as they grow. Does LIQUID CLUSTERING take that overhead away from customers and make their life easier? I know Databricks promises intelligent optimization and automatic clustering for managed tables but what about external tables because most companies would be having external tables where the underlying files are in their realm.
@sumitambatkar3903Ай бұрын
thanks for video man!!!! Most Helpful ......
@Alex180587Ай бұрын
Very interesting! Hope you get more views here. ❤
@NoahPitts713Ай бұрын
I feel like the "Lift and Shift" approach is fading away as more tech comes out. Successful Migrations start with an holistic approach. Thanks for sharing!
@NoahPitts713Ай бұрын
Win off merit 💪🏾
@NoahPitts713Ай бұрын
Knowledge is power! Sharing is caring ❤
@mariaelabdli9027Ай бұрын
❤❤❤❤
@user-un3ke6er6wАй бұрын
Fantastic
@thesimplicitylifestyle2 ай бұрын
Very useful! 😎🤖
@subedi042 ай бұрын
Great content
@hibaboulhanna95092 ай бұрын
Excellent
@hubert_dudek2 ай бұрын
Great interview!
@NoahPitts7132 ай бұрын
The crossover I didn't know I needed! Cool stuff yall!
@hubert_dudek2 ай бұрын
Great interview. Yes, data governance and quality/tests will be priority in the long term as companies are really struggling with that because there is no good solution on the market
@hubert_dudek2 ай бұрын
Family is growing
@nextgenlakehouse2 ай бұрын
Indeed💪💪
@hubert_dudek2 ай бұрын
How was the food? :-)
@nextgenlakehouse2 ай бұрын
The food was amazing
@hubert_dudek2 ай бұрын
Nice! The whole introduction course.
@malaizaifitness12462 ай бұрын
awesome stuff Youssef! Keep them highlights coming ~
@kaurivneet12 ай бұрын
So envious right now sitting on the other side of the globe!!! Thanks for sharing this!
@alinthemind2 ай бұрын
This code has reached capacity. Do you have another? 🙏🏻
@nextgenlakehouse2 ай бұрын
Here you go SUMCLXQ32
@AfeezRaheem-mr4tu3 ай бұрын
Awesome video!!! Thank you for sharing, but I am not sure what I need to be able to run the prompt in our Databricks environment. Please advise
@RishiGhose3 ай бұрын
A massive improvement in the notebook experience!
@yuvarajmani59073 ай бұрын
What about the existing external table paths ? will UC meta store also refer the same location ?
@nextgenlakehouse3 ай бұрын
Yes you just need to define the external location and the storage credentials
@MarokoJula-wf6lz3 ай бұрын
Thank you
@previa9604 ай бұрын
Is there any way to roll back from migration ?
@nextgenlakehouse3 ай бұрын
No. But it wont impact you since you will have access to HMS as a catalog
@biafchalabi17574 ай бұрын
Do you necessarily need unity catalog or can you use this in the standard tiering?
@nextgenlakehouse4 ай бұрын
It requires Unity Catalog
@JuanCamiloBlandonUrrea4 ай бұрын
How can I change the format of the counts so that they don't have decimals and also have the comma as the thousands separator in pivot control?
@OrchestraDataPlatform4 ай бұрын
Cool!
@ErikParmann4 ай бұрын
Went to the atscale website. Pressed 'Pricing'. Instead of giving me a price they wanted my email. I closed the website.
@vinclab4 ай бұрын
Great introduction of the vision behind the data intelligence platform
@kaurivneet14 ай бұрын
Keen to understand how the automatic tagging and classification would work and how the effectiveness be determined. Watching Matei is like watching my superstar! Looking forward to more interesting videos :)
@felixajorg5 ай бұрын
Highly informative and engaging throughout, great insights 👌👏
@denysl.27735 ай бұрын
Great, innovative product you guys have created at Databricks. Please keep innovating!
@jeffersonhernandezjimenez5 ай бұрын
Cannot resolve function `ai_mask` on search path [...]. Hi, I encountered this error, is there any previous work before starting to use the AI functions?
@nextgenlakehouse5 ай бұрын
So far it's only available on some regions. You can see the availability in the documentation. Make sure to use a the preview mode in the sql warehouse.