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 ...

When Databricks claimed to have cracked an age-old database problem, it came with a clear marketing message: "One data, zero compromises, zero copies." Inevitably, that led engineers to search 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 ...

Databricks introduces Lakehouse//RT, a real-time analytics engine for Delta Lake and Apache Iceberg tables, to replace specialized real-time databases. With Lakehouse//RT, Databricks introduces an ...

Data is mixed. Inside modern enterprise IT stacks, it is quite standard to find data streams, data flows, data repositories and data connection channels that exist across various formats, platforms ...

HTEC, the global technology and AI engineering firm headquartered in Silicon Valley, last week showcased how it used Lakebase data branching to enable faster development, safer operations, and new ...

Databricks says Instructed Retriever outperforms RAG and could move AI pilots to production faster, but analysts warn it could expose data, governance, and budget gaps that CIOs can’t ignore.

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...