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, 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 ...

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 ...

Amperity launches Chuck Data, the first AI agent purpose-built for customer data engineering in Databricks. Chuck brings the vibe coding revolution to enterprise data teams - accelerating identity ...

Since its launch in 2013, Databricks has relied on its ecosystem of partners, such as Fivetran, Rudderstack, and dbt, to provide tools for data preparation and loading. But now, at its annual 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 ...

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 ...

Databricks Inc. said today it has swooped to acquire a young company called Fennel AI Inc. for an undisclosed price so it can enhance its data intelligence platform with real-time feature engineering ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...