The two companies’ data science platforms have become core components for many CIOs who are focused on leveraging ...

Moreover, Databricks' recent fundraising round and financial revelations may also indicate both its value as a start-up and ...

Databricks adds new SQL Analytics Workspace and Endpoint features, consolidating its acquisition of Redash and bolstering its "data lakehouse" marketing push. Written by Andrew Brust, Contributor ...

Databricks, based in San Francisco, is also expanding its technology portfolio with a new machine learning system and the addition of new data pipeline and data governance capabilities to its ...

To address these problems, Chavez switched over to Databricks AutoML and the Databricks Machine Learning Workspace in August 2023. The initial focus was to configure, train and deploy models ...

Databricks Machine Learning provides each member of the data team with the right tools in one collaborative environment. Users can switch between Data Science / Engineering, SQL Analytics, and the ...

Tecton, the enterprise feature store company, is partnering with Databricks, the Data and AI Company, to help organizations build and automate their machine learning (ML) feature pipelines from ...

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

Databricks AutoML, like other AutoML solutions, automates many of the steps that data scientists must manually go through in terms of experimenting and testing different machine learning models. But ...

But both personas will feel more comfortable developing applications in the new version of Databricks Data Science Workspace, which the company unveiled today at Spark + AI Summit. Databricks first ...