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 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...
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...
Databricks Runtime 5.3 ML Now Generally Available
We are excited to announce the general availability (GA) of Databricks Runtime for Machine Learning, as part of the release of Databricks Runtime...
A Guide to Keynotes at Spark + AI Summit 2019
Over the past several years, Spark + AI Summit has become the premier event for data scientists, engineers, and Apache Spark TM enthusiasts...
Improving Data Management and Analytics in the Federal Government
From Static Data Warehouse to Scalable Insights and AI On-Demand for the Public Sector Government agencies today are dealing with a wider variety...
Data Engineering Light: Expanding Choice for Production Workloads
Adding a Lower Tier, Lower Price Option Since its inception a guiding principle for Databricks has been the unification of data science and...
Efficient Upserts into Data Lakes with Databricks Delta
Get an early preview of O'Reilly's new ebook for the step-by-step guidance you need to start using Delta Lake. Simplify building big data...
Tangible Impacts of AI on the Business
With 2019 in full swing, the excitement for data and AI driven innovation continues. Over the past few years, we’ve seen leading innovators...
Managed MLflow on Databricks now in public preview
Try this tutorial in Databricks Building production machine learning applications is challenging because there is no standard way to record experiments, ensure reproducible...