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Five years ago, Databricks coined the term 'data lakehouse' to describe a new type of data architecture that combines a data lake with a data warehouse. That term and data architecture are now ...

Databricks and Snowflake are at it again, and the battleground is now SQL-based document parsing. In an intensifying race to dominate enterprise AI workloads with agent-driven automation, Databricks ...

This was originally posted in dbt-databricks project and I was asked to cross post i here. Related to: databricks/dbt-databricks#1246 When running dbt in an Azure Devops Agent (for continues ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Still stuck in legacy warehouses? This pharma leader shows how a Databricks lakehouse can turn compliance hurdles into a growth engine. Over the course of several years designing and delivering ...

Running a single python model (example code below). Create_notebook is set to True. The upload to a notebook on databricks works, however with use_materialization_v2: true, the notebook is not ...