Databricks Extends MLflow Model Registry with Enterprise Features
We are excited to announce new enterprise grade features for the MLflow Model Registry on Databricks. The Model Registry is now enabled by...
COVID-19 Datasets Now Available on Databricks: How the Data Community Can Help
Initially published April 14th, 2020; updated April 21st, 2020 With the massive disruption of the current COVID-19 pandemic, many data engineers and data...
Operationalizing machine learning at scale with Databricks and Accenture
Guest blog by Atish Ray, Managing Director at Accenture Applied Intelligence and Nathan Buesgens, Manager, Accenture While many machine learning pilots are successful...
10 Minutes from pandas to Koalas on Apache Spark
This is a guest community post from Haejoon Lee, a software engineer at Mobigen in South Korea and a Koalas contributor. pandas is...
Trust but Verify with Databricks
As enterprises modernize their data infrastructure to make data-driven decisions, teams across the organization become consumers of that platform. The data workloads grow...
Business Continuity at Databricks During COVID-19 Crisis
Dear valued customer, As COVID-19 continues to impact our daily lives, we are thinking about those affected as well as the practitioners who...
Enabling Massive Data Transformation Across Your Organization
The top four companies by market cap today (MSFT, APPL, AMZN, GOOG) are all software companies, running their businesses on data. This is...
Productionize and Automate your Data Platform at Scale
Data-driven innovation is no longer optional to stay competitive in today's marketplace. Companies that can bring data, analytics, and ML-based products to market...
Delivering and Managing a Cloud-Scale Enterprise Data Platform with Ease
Data is growing exponentially and organizations are building products to harness the data and provide services to their customers. However, this exponential growth...
Security that Unblocks the True Potential of your Data Lake
Over the last few years, Databricks has gained a lot of experience deploying data analytics at scale in the enterprise. In many cases...