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 ...

Open-source Microsoft Teams bot for Databricks Genie with true SSO user identity flow and auto-generated visualizations. Enterprise-ready data access in Teams. A Telegram bot that connects to ...

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 ...

Hi there, I’m trying to implement SPJ joins, but they keep defaulting to sort-merge joins. Could you help me out? from pyspark.sql import SparkSession from pyspark.sql.functions import spark_partition ...