Databricks Inc. today introduced two new products, LakeFlow and AI/BI, that promise to ease several of the tasks involved in analyzing business information for useful patterns. LakeFlow is designed to ...
In a world where every industry stresses “doing more with less,” particular technologies and strategies that conserve resources while maximizing business value are crucial, yet often elusive. DBTA’s ...
Building robust, reliable, and highly performant data pipelines is critical for ensuring downstream analytics and AI success. Despite this need, many organizations struggle on the pipeline front, ...
Databricks today announced the general availability (GA) of Delta Live Tables (DLT), a new offering designed to simplify the building and maintenance of data pipelines for extract, transform, and load ...
Apache Spark was the pinnacle of advanced analytics just a few years ago. As the primary developer of this technology, Databricks Inc. has played a key role both in its commercial adoption, in the ...
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 ...
Databricks has unveiled a new extract, transform, load (ETL) framework, dubbed Delta Live Tables, which is now generally available across the Microsoft Azure, AWS and Google Cloud platforms. According ...
Databricks has announced a launch that signals a shift from generative AI experimentation to production-scale deployment – anchored by two new tools, Lakeflow Designer and Agent Bricks. Both are aimed ...
Databricks has made a name for itself as one of the most popular commercial services around the Apache Spark data analytics platform (which, not coincidentally, was started by the founders of ...
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