For processing the data, ADF v2 can use Azure Batch, Data Lake Analytics (U-SQL), HDInsight, Databricks or Machine Learning Services. And while all of these are Azure services, they deliver a ...

Azure Databricks will be available in a preview version for developers to use for processing and analyzing large streams of corporate data. Databricks is a San Francisco-based startup founded by ...

For those needing robust ELT, data science, and machine learning features within a data lake/data warehouse framework, Databricks is the winner. Azure ML wins for those just wanting to add ML to ...

Databricks and Microsoft deepen Azure partnership to deliver unified data and AI tools for enterprise innovation.

Data and AI solution provider Databricks has extended its multi-year partnership with Microsoft to help their shared ...

Databricks today launched what it calls its Lakehouse Federation feature at its Data + AI Summit.Using this new capability, enterprises can bring together their various siloed data systems and ...

The Azure Databricks service is supposed to give them an easier experience of running big data jobs than rolling their own Spark deployment, and offers a deeper level of compatibility with ...

Hortonworks results, Databricks release and more top the week's Big Data news Written by Andrew Brust, Contributor Aug. 7, 2015 at 3:07 p.m. PT My colleagues here at ZDNet have been covering a lot ...

Microsoft Fabric, a data platform intended to unify all data and analytics services, now includes support for semistructured data through the preview of Azure Cosmos DB, a NoSQL and vector database.