I simply can’t imagine putting a business analyst in front of a Databricks notebook and asking her to build a prediction model from a terabyte of data held in Amazon S3 buckets.

Another major advantage of notebooks is that they can be shared and collaborated on with the ease of using a Google Doc. For an example of what can be done with a shared notebook, check out this demo ...

Amazon, Microsoft, Databricks, Google, HPE, and IBM machine learning toolkits run the gamut in breadth, depth, and ease ...

While Databricks' built its success on open source, until now, the primary path to its analytics platform has been through its own executable notebook. Will the new integration with RStudio start ...

This is exactly where the synthetic data generation API comes into play, enabling developers to create high-quality evaluation datasets for preliminary assessment in a matter of minutes.

The data lakehouse provider Databricks isn’t slowing down on its shopping spree: the company today announced it has acquired the team behind Einblick, a provider of a natural language data ...

Data analytics developer Databricks Inc. today announced the general availability of Databricks Model Serving, a serverless real-time inferencing service that deploys real-time machine learning ...