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Data Engineering
Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.
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Forum Posts

JBOCACHICA
by New Contributor III
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  • 1 kudos

Primer vez en este evento, la verdad muy buen evento, aunque este foro no tiene contenido en español, la comunidad hispano parlante está creciendo y e...

Primer vez en este evento, la verdad muy buen evento, aunque este foro no tiene contenido en español, la comunidad hispano parlante está creciendo y esperamos poder aportar en el desarrollo de nuestros paises a traves de la tecnologia!.First time on ...

  • 1209 Views
  • 0 replies
  • 1 kudos
Jingalls
by New Contributor II
  • 873 Views
  • 1 replies
  • 2 kudos

The Data + AI summit is a blast so far. There are so many new technologies being released such as Delta Lake ​2.0 being open source.

The Data + AI summit is a blast so far. There are so many new technologies being released such as Delta Lake ​2.0 being open source.

  • 873 Views
  • 1 replies
  • 2 kudos
Latest Reply
Zzof
New Contributor II
  • 2 kudos

Agreed! You should check out the Azure booth if you haven't already they have a really cool demo.​

  • 2 kudos
christys
by Databricks Employee
  • 1169 Views
  • 1 replies
  • 7 kudos

Databricks SQL Serverless Now Available on AWS First announcement at Data + AI Summit 2022 is on the availability of serverless compute for Databricks...

Databricks SQL Serverless Now Available on AWSFirst announcement at Data + AI Summit 2022 is on the availability of serverless compute for Databricks SQL (DBSQL) in Public Preview on AWS! DB SQL Serverless makes it easy to get started with data wareh...

  • 1169 Views
  • 1 replies
  • 7 kudos
Latest Reply
js54123875
New Contributor III
  • 7 kudos

Awesome! We definitely want to join this preview. This is the missing piece for us in making data accessible from the data lake to end users, because it will help with the compute costs. I can't wait to learn more. #Summit22​ 

  • 7 kudos
Gchenzs
by New Contributor II
  • 508 Views
  • 0 replies
  • 2 kudos

1198646F-C951-4C40-AC6B-EE741EEF4F4C

As a SI partner of Databricks, we are excited to attend the summit and co-present with our client Amgen. Come see us in action at 3PM, check the app for the location!#ss22

  • 508 Views
  • 0 replies
  • 2 kudos
sbo
by New Contributor III
  • 1172 Views
  • 1 replies
  • 0 kudos
  • 1172 Views
  • 1 replies
  • 0 kudos
Latest Reply
Advana
New Contributor III
  • 0 kudos

Speeds up data retrieval when filling in provided fields by collocating data

  • 0 kudos
BradC26
by New Contributor III
  • 1420 Views
  • 2 replies
  • 0 kudos

Resolved! Can I change the experiment location for a model?

We are looking to move some of the artifacts to S3 from dbfs.

  • 1420 Views
  • 2 replies
  • 0 kudos
Latest Reply
sbo
New Contributor III
  • 0 kudos

Yes you can do it via the mlflow python API. However know that when you do that and move the experiment location to S3 the Databricks UI interface doesnt allow interaction with the artifacts etc. the mlflow python API is rich with the abilities to in...

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ccavazos
by New Contributor III
  • 904 Views
  • 1 replies
  • 6 kudos

Really excited about Delta Sharing Cleanrooms!

Really excited about Delta Sharing Cleanrooms!

  • 904 Views
  • 1 replies
  • 6 kudos
Latest Reply
Withay
New Contributor II
  • 6 kudos

As am I! Between the clean rooms and the platform-agnostic data marketplace, collaborating on a variety of datasets will become much easier than before!

  • 6 kudos
abd
by Contributor
  • 7425 Views
  • 7 replies
  • 16 kudos

Resolved! What will happen if a driver or worker node fails?

What will happen if a driver node will fail?What will happen if one of the worker node fails?Is it same in Spark and Databricks or Databricks provide additional features to overcome these situations?

  • 7425 Views
  • 7 replies
  • 16 kudos
Latest Reply
Cedric
Databricks Employee
  • 16 kudos

If the driver node fails your cluster will fail. If the worker node fails, Databricks will spawn a new worker node to replace the failed node and resumes the workload. Generally it is recommended to assign a on-demand instance for your driver and spo...

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