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Organizations can improve performance and reduce costs by replacing the stock Databricks Runtime for Machine Learning libraries with versions optimized by Intel. Here’s how to get started. Getting the ...

Today to kick off Spark Summit, Databricks announced a Serverless Platform for Apache Spark — welcome news for developers looking to reduce time spent on cluster management. The move to simplify ...

Big-data company Databricks Inc. is hoping to empower so-called citizen data scientists to create their own machine learning models with new “Automated Machine Learning” capabilities in its Unified ...

SAN FRANCISCO--(BUSINESS WIRE)--Databricks, the leader in unified data analytics, today announced an accelerated path for data teams to unify data management, business intelligence (BI) and machine ...

Databricks today unveiled a new cloud-based machine learning offering that’s designed to give engineer everything they need to build, train, deploy, and manage ML models. The new offering is designed ...

Databricks, the Silicon Valley-based startup focused on commercializing Apache Spark, has developed MLflow, an open source toolkit for data scientists to manage the lifecycle of machine learning ...

Databricks continues to expand its portfolio of big data software around the Databricks Lakehouse Platform – all designed to unify all data, analytics and AI workloads. Databricks has launched a ...

The integration between WTW Radar and Databricks enables Radar to access data by selecting Databricks as a data source and to retrieve data straight from the Databricks Data Intelligence Platform in a ...

Qualytics partners with Databricks to deliver proactive, automated data quality natively on the Databricks Data Intelligence Platform, enabling trusted, AI-ready data without data leaving the ...