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MLflow v0.9.0 Features SQL Backend, Projects in Docker, and Customization in Python Models

March 28, 2019 by Sue Ann Hong and Jules Damji in
Read Rise of the Data Lakehouse to explore why lakehouses are the data architecture of the future with the father of the data...

Data Engineering Light: Expanding Choice for Production Workloads

March 26, 2019 by Singh Garewal in
Adding a Lower Tier, Lower Price Option Since its inception a guiding principle for Databricks has been the unification of data science and...

Introducing Databricks AWS IAM Credential Passthrough

March 26, 2019 by Silvio Fiorito and Greg Owen in
As more and more analytics move to the cloud, customers are faced with the challenge of how to control which users have access...

Azure Databricks – Bring Your Own VNET

March 20, 2019 by Abhinav Garg and Anna Shrestinian in
Azure Databricks Unified Analytics Platform is the result of a joint product/engineering effort between Databricks and Microsoft. It’s available as a managed first-party...

Efficient Upserts into Data Lakes with Databricks Delta

March 19, 2019 by Tathagata Das and Prakash Chockalingam in
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

March 14, 2019 by Michael Ortega in
With 2019 in full swing, the excitement for data and AI driven innovation continues. Over the past few years, we’ve seen leading innovators...

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

March 8, 2019 by Itai Weiss in
Databricks Unified Analytics Platform, built by the original creators of Apache Spark TM , brings Data Engineers, Data Scientists and Business Analysts together...

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...

Challenges of AI in the Mainstream

March 3, 2019 by Michael Ortega in
Artificial Intelligence (AI) adoption is picking up steam. Enterprises are looking for new ways to deploy AI to transform their business and gain...