5 Reasons to Become an Apache Spark Expert
Apache Spark ™ has fast become the most popular unified analytics engine for big data and machine learning. It was originally developed at...
Apparate: Managing Libraries in Databricks with CI/CD
This is a guest blog from Hanna Torrence, Data Scientist at ShopRunner. Introduction As leveraging data becomes a more vital component of organizations'...
Kicking Off 2019 with an MLflow User Survey
It’s been six months since we launched MLflow , an open source platform to manage the machine learning lifecycle, and the project has...
Introducing Databricks Library Utilities for Notebooks
Databricks has introduced a new feature, Library Utilities for Notebooks, as part of Databricks Runtime version 5.1. It allows you to install and...
Introducing Databricks Runtime 5.1 for Machine Learning
Last week, we released Databricks Runtime 5.1 Beta for Machine Learning. As part of our commitment to provide developers with the latest deep...