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 Healthcare and Life Sciences Talks at Spark + AI Summit 2019
Data and AI are ushering in a new era of precision medicine. The scale of the cloud, combined with advancements in machine learning...
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...
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...
Introducing Brickchain: Planet-scale Unified Analytics
Today we are excited to announce Brickchain , the next generation technology for zettabyte-scale analytics, by harnessing all the compute power on the...
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...
MLflow v0.9.0 Features SQL Backend, Projects in Docker, and Customization in Python Models
Read Rise of the Data Lakehouse to explore why lakehouses are the data architecture of the future with the father of the data...
Simple Steps to Distributed Deep Learning: On-Demand Webinar and FAQ Now Available!
Try this notebook in Databricks On February 12th, we hosted a live webinar— Simple Steps to Distributed Deep Learning on Databricks —with Yifan...
Securely Accessing External Data Sources from Databricks for AWS
Databricks Unified Analytics Platform, built by the original creators of Apache Spark TM , brings Data Engineers, Data Scientists and Business Analysts together...