- 1632 Views
- 1 replies
- 0 kudos
Facilitate integration with private Networks
Can you please help integrating Databricks control plane with corporate Private Network (especially w.r.t. Enterprise Github integration).Thank you !
- 1632 Views
- 1 replies
- 0 kudos
- 0 kudos
Depends on what platform your Databricks is on. Example in Azure you just need to set up the service in a vlan and tie the vlan to your internal network- site to site VPN tunnel as am example.
- 0 kudos
- 903 Views
- 0 replies
- 0 kudos
What's up DAIS 2023
It is all happening here at DAIS 2023 - exciting new announcements - looking forward to Lakehouse IQ
- 903 Views
- 0 replies
- 0 kudos
- 638 Views
- 0 replies
- 0 kudos
Training to scale with Spark
Had an amazing session June 26-27 on scaling ML with Spark. Learned about hyperparamter optimization. Great experience.
- 638 Views
- 0 replies
- 0 kudos
- 698 Views
- 0 replies
- 0 kudos
Fragmented and siloed experience
How can you solve it for your company if you cannot rely on a single third party vendor. Thx!
- 698 Views
- 0 replies
- 0 kudos
- 726 Views
- 0 replies
- 0 kudos
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 ...
- 726 Views
- 0 replies
- 0 kudos
- 682 Views
- 0 replies
- 0 kudos
Hello all
Hello, all! Been using databricks for the past 5 years but just joinned the community. Big fan of the platform.
- 682 Views
- 0 replies
- 0 kudos
- 5735 Views
- 3 replies
- 2 kudos
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 ?
- 5735 Views
- 3 replies
- 2 kudos
- 2 kudos
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.
- 2 kudos
- 709 Views
- 0 replies
- 0 kudos
- 709 Views
- 0 replies
- 0 kudos
- 693 Views
- 0 replies
- 0 kudos
DataBricks AI summit
At the Summit and It is wildly amazing!
- 693 Views
- 0 replies
- 0 kudos
- 6710 Views
- 5 replies
- 1 kudos
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...
- 6710 Views
- 5 replies
- 1 kudos
- 1 kudos
https://speakerdeck.com/mitasingh https://telegra.ph/Free-Printable-cover-letter-template-01-17 https://www.imdb.com/user/ur148564602/?ref_=nv_usr_prof_2 https://www.glenewinestate.com.au/profile/coverletter50/profile https://www.wpanet.org/profile/c...
- 1 kudos
- 856 Views
- 0 replies
- 0 kudos
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 ...
- 856 Views
- 0 replies
- 0 kudos
- 906 Views
- 0 replies
- 0 kudos
Vendor partnerships
I had a great time meeting with multiple vendors to see how their solutions will assist with our delivery to client projects!
- 906 Views
- 0 replies
- 0 kudos
- 1562 Views
- 0 replies
- 0 kudos
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.
- 1562 Views
- 0 replies
- 0 kudos
- 1178 Views
- 0 replies
- 0 kudos
Automl
How to efficiently use automl
- 1178 Views
- 0 replies
- 0 kudos
- 10399 Views
- 3 replies
- 2 kudos
Feature store feature table location
Can Databricks feature tables be stored outside of DBFS?
- 10399 Views
- 3 replies
- 2 kudos
- 2 kudos
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...
- 2 kudos
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