Efficient Point in Polygon Joins via PySpark and BNG Geospatial Indexing
This is a collaborative post by Ordnance Survey, Microsoft and Databricks. We thank Charis Doidge, Senior Data Engineer, and Steve Kingston, Senior Data...
Pandas API on Upcoming Apache Spark™ 3.2
We're thrilled to announce that the pandas API will be part of the upcoming Apache Spark™ 3.2 release. pandas is a powerful, flexible...
Shiny and Environments for R Notebooks
At Databricks, we want the Lakehouse ecosystem widely accessible to all data practitioners, and R is a great interface language for this purpose...
How We Built Databricks on Google Kubernetes Engine (GKE)
Our release of Databricks on Google Cloud Platform (GCP) was a major milestone toward a unified data, analytics and AI platform that is...
An Experimentation Pipeline for Extracting Topics From Text Data Using PySpark
This post is part of a series of posts on topic modeling. Topic modeling is the process of extracting topics from a set...
The Delta Between ML Today and Efficient ML Tomorrow
Delta Lake and MLflow both come up frequently in conversation but often as two entirely separate products. This blog will focus on the...
AML Solutions at Scale Using Databricks Lakehouse Platform
Anti-Money Laundering (AML) compliance has been undoubtedly one of the top agenda items for regulators providing oversight of financial institutions across the globe...
Get Your Free Copy of Delta Lake: The Definitive Guide (Early Release)
At the Data + AI Summit, we were thrilled to announce the early release of Delta Lake: The Definitive Guide , published by...
What’s New in Apache Spark™ 3.1 Release for Structured Streaming
Along with providing the ability for streaming processing based on Spark Core and SQL API, Structured Streaming is one of the most important...
Attack of the Delta Clones (Against Disaster Recovery Availability Complexity)
Get an early preview of O'Reilly's new ebook for the step-by-step guidance you need to start using Delta Lake. Notebook: Using Deep Clone...