Introducing Apache Spark™ 3.2
We are excited to announce the availability of Apache Spark™ 3.2 on Databricks as part of Databricks Runtime 10.0. We want to thank…
Open Source
Native Support of Session Window in Spark Structured Streaming
Apache Spark™ Structured Streaming allowed users to do aggregations on windows over event-time. Before Apache Spark 3.2™, Spark supported tumbling windows and sliding…
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 O’Reilly.…
