Using Dynamic Time Warping and MLflow to Detect Sales Trends
Try this notebook series (in DBC format) in Databricks This blog is part 2 of our two-part series Using Dynamic Time Warping and...
Introducing MLflow Run Sidebar in Databricks Notebooks
At Spark+AI Summit 2019, we announced the GA of Managed MLflow on Databricks in which we take the latest and greatest of open...
Announcing General Availability of Managed MLflow on Databricks
Try this tutorial in Databricks MLflow is an open source platform to help manage the complete machine learning lifecycle. With MLflow, data scientists...
Databricks and Tableau Lean In to Improve BI User Experience
Since 2014, Tableau and Databricks have partnered to improve the speed and user experience of visualizing massive data sets. This is a natural...
Open Sourcing Delta Lake
Get an early preview of O'Reilly's new ebook for the step-by-step guidance you need to start using Delta Lake. Build reliable data lakes...
Koalas: Easy Transition from pandas to Apache Spark
Today at Spark + AI Summit, we announced Koalas, a new open source project that augments PySpark’s DataFrame API to make it compatible...
A Guide to MLflow Talks at Spark + AI Summit 2019
In less than a year, MLflow has reached almost 500K monthly downloads, and gathered over 80 code contributors and 40 contributing organizations, confirming...
A Guide to Financial Services Talks at Spark + AI Summit 2019
The financial services industry is transforming rapidly. Customers today demand more personalized experiences, better returns on their investments and improved protection against fraud...
Managing the Complete Machine Learning Lifecycle: On-Demand Webinar now available!
On March 7th, our team hosted a live webinar— Managing the Complete Machine Learning Lifecycle —with Andy Konwinski, Co-Founder and VP of Product...
Announcing Databricks Runtime 5.3
We are proud to announce the release of Databricks Runtime 5.3, which includes several new features and improvements, including: GA of Delta Time...