Databricks SQL maintains a query history for you. Note that the SELECT year query we’ve been looking at took almost 30 seconds to run. Most of the other queries were generated by console actions.

Databricks adds new SQL Analytics Workspace and Endpoint features, consolidating its acquisition of Redash and bolstering its "data lakehouse" marketing push.

I have just discovered that we can also work with databricks databases locally using this module. However, when I am trying to write a dataframe to database I, usually use df.to_sql, is it possible ...

Creates a data frame containing our build versions using the config and authentication token we retrieved. Displays our data frame containing our build versions. So there we are. We connected to Azure ...

Databricks also has plans to scale BladeBridge expertise to other system integrators, it said, adding that it sees the acquisition contributing to its goal of reaching a $3 billion revenue run ...

SQL Analytics, available for public preview on Nov. 18, incorporates the Delta Engine query execution software, as well as security and other capabilities to improve system latency and concurrency.

Databricks plans to develop native support for NVIDIA-accelerated computing in Databricks' next-generation vectorized query engine, Photon, to deliver improved speed and efficiency for customers ...

In a demo, Ghodsi showed me what the new SQL Analytics workspace looks like. It’s essentially a stripped-down version of the standard code-heavy experience with which Databricks users are familiar.