Interoperability between Koalas and Apache Spark
Koalas is an open source project which provides a drop-in replacement for pandas, enabling efficient scaling out to hundreds of worker nodes for…
Koalas is an open source project which provides a drop-in replacement for pandas, enabling efficient scaling out to hundreds of worker nodes for…
This is a guest community post from Genmao Yu, a software engineer at Alibaba. Structured Streaming was initially introduced in Apache Spark 2.0.…
What is a Databricks cluster policy? A Databricks cluster policy is a template that restricts the way users interact with cluster configuration. Today,…
Try out Delta Lake 0.7.0 with Spark 3.0 today! It has been a little more than a year since Delta Lake became an…
Download the Customer Lifetimes Part 1 notebook to demo the solution covered below, and watch the on-demand virtual workshop to learn more. You…
R is one of the most popular computer languages in data science, specifically dedicated to statistical analysis with a number of extensions, such…
This is a joint engineering effort between the Databricks Apache Spark engineering team — Wenchen Fan, Herman van Hovell and MaryAnn Xue —…
Try this notebook to reproduce the steps outlined below We recently announced the release of Delta Lake 0.6.0, which introduces schema evolution and…
Guest Blog by Niranjan Nataraja and Karthikeyan Rajendran of Nvidia. Niranjan Nataraja is a lead data scientist at Nvidia and specializes in building…
Introducing Databricks Runtime 7.0 Beta We’re excited to announce that the Apache SparkTM 3.0.0-preview2 release is available on Databricks as part of our…