Good visual explanation of new feature. It would be good to show demo of new features too

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Great video, fun easy to learn new things

Really liked the video , quite interesting

alexott.blogspot.com/2024/08/terraform-vs-databricks-asset-bundles.html

This video is soo bad, you get easier to understand information just by reading the paper and articles.

what is the limitation of displaying number of columns and export number of records from a tabular report from the Databricks BI? can you show 500+ columns and export 1 million records from the report?

Horrible sound, would be great to check guests sound before recording

Can we do this publishing in a automated way? programatically or using a scheduling?

Wow!! Using your laptop mic for this?! Are you kidding? 😂😂😂

like the tone of this video :-)

why talk so fast?

these are solid tips. thank you for revealing the framework

Hi, amazing video but where is github link. which host is talking in video.

can you access the data with a 3rd party BI tool such as PowerBi or Tableau?

Doesn't the "join" condition execute before the "where" ? Therefore the filter should be post the join and not pre-join in scan B at 6:32

Great demo of Databricks' clean rooms! As someone with interest in fintech, I really appreciate how this enables secure data collaboration between banks without compromising customer privacy. The ability to run AI models across federated data while maintaining strict data governance is impressive. Also love how it works seamlessly across different clouds and platforms. This is exactly what the financial industry needs for better fraud detection.

Thanks for being realistic

Is there any particular advantage for using the transformer flavor instead of deploying LLM as a custom pyfunc? Are there any optimization such as flash attention or page attention for speeding up inference applied by the transformer flavor? Or does it improve loading speed of the model?

Thanks for the great video! I've enabled Predictive Optimisation for my unity catalog a couple days ago. But nothing happens, I cannot see any records in the predictive_optimization_operations_history schema under system catalog. Does it mean Databricks believes it is NOT worth optimising my tables because of the cost?

a worked example of using Databricks vector search will be helpful.

Awesome!

Setup up delta-io/delta is barrier due to multiple complain in compilation process, making it very difficult to contribute. 😥😥

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Is there any reason why this couldn't be done in native Terraform? The Databricks provider provides much of this functionality as far as I can tell.. And of course Terraform natively supports lookups, interpolation syntax etc. And as I understand it, DAB is just a wrapper around Terraform. So if we already have expertise in Terraform, and have paid a considerable amount for Terraform Enterprise, this seems like we'd be adding an extra layer on top of stuff we can already do? Or does DAB do something that the Terraform provider cannot?

Why none of videos works for me? is it the location being US is the problem, it just shows the ad and skips to the next video..

Just Like a WOW

can you make a tutorial on how to build this dashboard, please?

good summary and key points..

Love the energy !!

This is gold

How would you know what is the best algo or best forecast ?

Genius way to rip off customers

So do each of the 4 microservers that replace 1 SQL server, need their own CPUs just to run? Doesn't that mean that it requires more overhead for the same process?

Can you please share the codes with us?

Can we access your code?

I get emails all the time from my CEO, they always come with an S3 path too. Meanwhile, in reality...

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Great talk :) It would be fantastic to hear more about Localhost config and Spark Connect considerations in the near future :)

Just clicking to say the facial hair goes crazy

Love the jokes at 5:50 🤣

Can I use lakehouse federation to query data from hive table which ran on server if I have hive, hive metastore database (mysql).

Hi @Ruifeng Zheng, AFAIK , there is no Java Client for Spark Connect in the Spark 3.5.x . Will it be available in Spark 4.0 GA?

the best detailed explanation!

Stored Procedure is not working. #Databricks

Nice knowledge sharing session. Can you please share the ppt you are referring

Hi @Hyukjin Kwon, Please help me crack this error. When trying to programmatically (Python) access the Spark Connect Server, doing a simple dataframe query throws the error. I could ensure there is no connection issue. Python Logs: pyspark.errors.exceptions.connect.SparkConnectGrpcException: <_MultiThreadedRendezvous of RPC that terminated with: status = StatusCode.CANCELLED details = "Received RST_STREAM with error code 8" debug_error_string = "UNKNOWN:Error received from peer {grpc_message:"Received RST_STREAM with error code 8", grpc_status:1, created_time:"2025-01-12T08:45:47.1424932+00:00"}" > Spark Connect Server Error: org.sparkproject.connect.grpc.StatusRuntimeException: INTERNAL: Encountered end-of-stream mid-frame

just a feedback. Use more meaningful images rather than talk-telling.

Great presentation!

configuração do modelo 12:51