In this session of our training series, we’ll show you how you can use MLlib with Azure Databricks to train your own models, run replicable experiments, and deploy into production with fewer ...

Databricks Lakehouse Platform combines cost-effective data storage with machine learning and data analytics, and it's available on AWS, Azure, and GCP.

Delta Sharing can already be applied to share data across Azure Data Share, Azure Purview, Big Query, AtScale, Collibra, Dremio, Immuta, Looker, Privacera, Qlik, Power BI, and Tableau platforms.

Azure Databricks will be integrated with a score of other Azure data-related services, including the Azure Cosmos DB database introduced earlier this year, as well as Azure SQL Data Warehouse and ...

Data + AI Summit -- Databricks, the Data and AI company, and Microsoft today announced a multi-year early extension of their strategic partnership, underscoring a shared commitment to helping ...

Fivetran Extends Integration With Databricks, Accelerating SQL Analytics, Data Science and Machine-Learning Applications November 12, 2020 06:00 AM Eastern Standard Time ...

Because this is essentially a first-party Azure service, users will also get all of the usual Azure SLAs and be able to deliver support to their joint customers — a group of Databricks engineers ...

Databricks first launched Workspaces in 2014 as a cloud-hosted, collaborative environment for development data science applications. Since then, Jupyter has become a lot more popular, says Matei ...

Alinta Energy has also kicked off its first use case for AI/BI Genie, Databricks’ generative AI feature intended to enable business teams to interact with data using natural language.