- 262 Views
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What's up DAIS 2023
It is all happening here at DAIS 2023 - exciting new announcements - looking forward to Lakehouse IQ
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Forum Posts
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Training to scale with Spark
Had an amazing session June 26-27 on scaling ML with Spark. Learned about hyperparamter optimization. Great experience.
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- 234 Views
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Fragmented and siloed experience
How can you solve it for your company if you cannot rely on a single third party vendor. Thx!
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- 227 Views
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how everyone of you helps your company to solve the fragmented platform experience?
we have many siloed and fragmented existing solutions that we could not depreciated, but the user experience for our AI developers is not good, how do you solve it with the consideration that you cannot use one/single 3rd party solution. Thanks for ...
- 227 Views
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- 247 Views
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Hello all
Hello, all! Been using databricks for the past 5 years but just joinned the community. Big fan of the platform.
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- 1311 Views
- 3 replies
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Resolved! ML usecase feasibility for Databricks ML Vs AWS Sagemaker/Azure ML
What complexity of ML models are feasible to be created in Databricks ML and further that we have to rely on AWS Sagamaker or Azure ML ?Do we have clear segragation around it by ML usecases ?
- 1311 Views
- 3 replies
- 2 kudos
Latest Reply
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In Databricks, your usecase can be solved by the notebooks provided here in databricks. There is no dependency on AWS sagemaker directly. All the model traiing and deployement that can be done in sagemaker, is supported via databricks as well.
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- 223 Views
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- 223 Views
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- 196 Views
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DataBricks AI summit
At the Summit and It is wildly amazing!
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- 1878 Views
- 2 replies
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Resolved! Avoid Using MLFlow to log runs
I am running some code to smooth columns of data and fill in missing values. The algorithms being used are automatically logged to an experiment using MLFlow which makes a 15 second job take 9 minutes and causes out of memory errors in another instan...
- 1878 Views
- 2 replies
- 1 kudos
Latest Reply
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You can even us a general command without noting which library will be used:import mlflowmlflow.autolog(disable=True)
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- 2326 Views
- 6 replies
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Resolved! Concatenating strings based on previous row values
Consider the following input:ID PrevID -------- --------- 33 NULL 272 33 317 272 318 317I need to somehow get the following result:Result -------- /33 /33/272 /33/272/317 /33/272/317/318I need to do this in SQL a...
- 2326 Views
- 6 replies
- 1 kudos
Latest Reply
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- 203 Views
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Databricks 2023
Hi all,Attending the Databricks conference was an immersive and enlightening experience. I gained valuable insights into the latest advancements in data analytics and AI, networked with industry experts, and left inspired by the innovative use cases ...
- 203 Views
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- 230 Views
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Vendor partnerships
I had a great time meeting with multiple vendors to see how their solutions will assist with our delivery to client projects!
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- 638 Views
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MLOPs
I’m here to learn more about DataBricks MLOps. I’ve learnt so much about how to build and maintain a production-level ML models. I will apply this knowledge to build a scalable ML solutions for my company.
- 638 Views
- 0 replies
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- 364 Views
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Automl
How to efficiently use automl
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- 1409 Views
- 3 replies
- 2 kudos
Feature store feature table location
Can Databricks feature tables be stored outside of DBFS?
- 1409 Views
- 3 replies
- 2 kudos
Latest Reply
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Yes, Databricks feature tables can be stored outside of Databricks File System (DBFS). You can store your feature tables in external storage systems such as Amazon S3, Azure Blob Storage, Azure Data Lake Storage, or Hadoop Distributed File System (HD...
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