Working with Entity Relationship (ER) Diagrams on Databricks
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...
Actionable Insight for Engineers and Scientists at Big Data Scale with Databricks and MathWorks
Today, Databricks announced that it is launching a new partnership with MathWorks, whose MATLAB and Simulink product families are used by engineers and...
Databricks Named A Leader in Gartner Magic Quadrant for Data Science and Machine Learning Platforms
Gartner has released its 2020 Data Science and Machine Learning Platforms Magic Quadrant, and we are excited to announce that Databricks has been...
Building Reliable Data Pipelines for Machine Learning Webinar Recap
This is a guest blog from Ryan Fox Squire | Product & Data Science at SafeGraph At SafeGraph we are big fans of...
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
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
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
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
We started Databricks in 2013 in a tiny little office in Berkeley with the belief that data has the potential to solve the...