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 ...
On Monday, Germany-based SAP SE (NYSE:SAP) unveiled a suite of new AI, data, and application innovations designed to accelerate business transformation at its first-ever SAP Connect event. The ...
Microsoft announced on Tuesday the public preview of a native Azure Databricks Connector in Power Platform, enabling what the company said is seamless, governed access to Databricks data without data ...
Databricks launched Lakebase today, a new database designed for enterprises and developers to build data applications and artificial intelligence agents on a single multi-cloud platform. Lakebase is ...
Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...
We’re encountering issues with Databricks SQL when attempting to update a row that contains a large JSON array field. Originally, we tried inserting the entire JSON directly into the column, but this ...
Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...
Databricks Inc. has snapped up a startup called BladeBridge Inc., which offers tools for migrating enterprise data warehouses. The big-data company said Wednesday it plans to integrate its technology ...
Data lakehouse provider Databricks has acquired data platform modernization software provider BladeBridge for an undisclosed sum to help its new customers move from rival data warehouses, such as ...
With the Hydrolix Spark Connector, Databricks users can use the Hydrolix streaming data lake to extract deeper insights faster and cheaper from their real-time and historical log data. PORTLAND, Ore., ...
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