Skip to main content
Page 1
Engineering blog

On-Demand Webinar: Granular Demand Forecasting At Scale

We recently hosted a live webinar — How Starbucks Forecasts Demand at Scale with Facebook Prophet and Databricks — During this webinar we...
Platform blog

Simplify Data Lake Access with Azure AD Credential Passthrough

Azure Databricks brings together the best of the Apache Spark, Delta Lake, an Azure cloud. The close partnership provides integrations with Azure services...
Engineering blog

Scaling Financial Time Series Analysis Beyond PCs and Pandas: On-Demand Webinar, Slides and FAQ Now Available!

On Oct 9th, 2019, we hosted a live webinar — Scaling Financial Time Series Analysis Beyond PCs and Pandas — with Junta Nakai...
Platform blog

Using ML and Azure to improve Customer Lifetime Value: On-Demand Webinar and FAQ Now Available!

August 5, 2019 by Rob Saker, Colby Ford and Navin Albert in Partners
On July 18th, we hosted a live webinar —Using ML and Azure to improve customer lifetime value - with Rob Saker, Industry Leader...
Company blog

Simplifying Streaming Stock Analysis using Delta Lake and Apache Spark: On-Demand Webinar and FAQ Now Available!

Get an early preview of O'Reilly's new ebook for the step-by-step guidance you need to start using Delta Lake. On June 13th, we...
Company blog

Protecting the Securities Market with Predictive Fraud Detection

FINRA (Financial Industry Regulatory Authority), a regulatory body charged with protecting the U.S. securities market, spoke at the Spark + AI Summit on...
Company blog

Detecting Financial Fraud at Scale with Decision Trees and MLflow on Databricks

Try this notebook in Databricks Detecting fraudulent patterns at scale using artificial intelligence is a challenge, no matter the use case. The massive...
Company blog

A Guide to Innovative Retail Talks at Spark + AI Summit 2019

April 17, 2019 by Navin Albert in Company Blog
The retail industry has been leading the pack in harnessing the power of big data and AI to drive customer engagement. By analyzing...