Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More During its online Data + AI Summit conference, Databricks today unveiled ...

Rather than broad tech concepts, the focus is on practical tools and languages used by data professionals: Python for ...

Databricks, the Data and AI company, is introducing Databricks LakeFlow, a new solution that unifies and simplifies all aspects of data engineering—from data ingestion to transformation and ...

Data scientists and software engineers work in different ways and use different tools. But both personas will feel more comfortable developing applications in the new version of Databricks Data ...

Databricks Lakehouse Platform combines cost-effective data storage with machine learning and data analytics, and it's available on AWS, Azure, and GCP. Could it be an affordable alternative for your ...

SAN FRANCISCO and REDWOOD CITY, Calif., Nov. 16, 2018 — Databricks, a leader in unified analytics and founded by the original creators of Apache Spark, and Talend, a global leader in cloud data ...

Our analysis and end-user discussions continue to demonstrate that a new modern data stack is emerging along with sophisticated data-oriented “personas,” such as data analysts and data scientists.

Last week, dotData, a company focused on automated feature engineering (AutoFE) and automated machine learning (AutoML), announced the integration of its AutoFE technology with the Databricks platform ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in minutes using ...