Skip to main content
<
Page 41
>

Working with Entity Relationship (ER) Diagrams on Databricks

February 21, 2020 by Greg Rahn in
Introduction Databricks supports the standard SQL data types and has first-class support for both ODBC and JDBC clients. This means that most 3rd...

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...

How to Display Model Metrics in Dashboards using the MLflow Search API

February 18, 2020 by Avesh Singh, Jules Damji and Max Allen in
Machine learning engineers and data scientists frequently train models to optimize a loss function. With optimization methods like gradient descent, we iteratively improve...

Automating Digital Pathology Image Analysis with Machine Learning on Databricks

January 31, 2020 by Amir Kermany and Frank Austin Nothaft in
Check out our solution accelerator for automating digital pathology analysis or watch our on-demand webinar to learn more. With technological advancements in imaging...

What Is a Lakehouse?

Read Building the Data Lakehouse to explore why lakehouses are the data architecture of the future with the father of the data warehouse...

Query Delta Lake Tables from Presto and Athena, Improved Operations Concurrency, and Merge performance

January 29, 2020 by Tathagata Das and Denny Lee in
Get an early preview of O'Reilly's new ebook for the step-by-step guidance you need to start using Delta Lake. We are excited to...

On-Demand Webinar: Geospatial Analytics and AI in the Public Sector

January 28, 2020 by Michael Johns and Derek Yeager in
We recently hosted a live webinar — Geospatial Analytics and AI in Public Sector — during which we covered top geospatial analysis use...

Fine-Grained Time Series Forecasting At Scale With Facebook Prophet And Apache Spark

January 26, 2020 by Bilal Obeidat, Bryan Smith and Brenner Heintz in
Try this time series forecasting notebook in our Solution Accelerator for Demand Forecasting . Advances in time series forecasting are enabling retailers to...

Solving the World’s Toughest Problems with the Growing Open Source Ecosystem and Databricks

January 23, 2020 by Reynold Xin in
We started Databricks in 2013 in a tiny little office in Berkeley with the belief that data has the potential to solve the...

Automate Deployment and Testing with Databricks Notebook + MLflow

Today many data science (DS) organizations are accelerating the agile analytics development process using Databricks notebooks. Fully leveraging the distributed computing power of...