The summit has been a great experience, especially looking forward to using new features announced at the keynote. I took the Data Engineering training and associated certification, both good experiences.
Another great year at the summit! The keynotes today were awesome!
Excited to come back next year!
Had a question, is there any discount code available for certification exam for people at the databricks conference in SF
Any Ideas how to automate token renewals??
Yes, we have the similar case and work with python librarys to refresh the keyvaults
I’ve had an awesome experience at the Data AI Summit 2023. Posting from the Community Hub Booth!
Having a great time at the Databricks summit! So excited to join the Databricks community
In Peru our team in Pacifico Seguros created a framework that accelerate the creation, control and monitoring the pipelines with metadata automated thinking in our machine learning uses cases in insurance
Loving the Databricks energy and looking forward for all the new releases and improvements from Databricks! Excited to be part of this event!#DatabricksAISummit
I am excited by all the new features that we are getting in Databricks notebooks. I can’t wait to go see how the Unity Catalog and LakehouseIQ can help enhance my coding!
Databricks Community: Migration FAQ (June 2023) We are thrilled to share that Databricks Community is revamping and will be launching next week with an enhanced experience on a new platform to better serve you. Below are potential questions and ...
Unfortunately i'm having the same issue.My old account:https://community.databricks.com/t5/user/viewprofilepage/user-id/79106
Indeed, uniform delta format is supported in various open-source tools and frameworks. Which is commonly used format for representing changes or updates in data, allowing efficient processing and storage of incremental updates.
How to sync git branch and workflow
We can sync up using github actions/repo link
Having an enriching learning and networking experience at the Summit 2023. Looking forward to trying out the new releases.
Hello everyone, My scala project have this dependencies : "org.apache.spark" %% "spark-sql" % sparkVersionValue % "provided","org.apache.spark" %% "spark-hive" % sparkVersionValue % "provided","io.delta" %% "delta-core" % "1.0.0","com.google.cloud" ...
