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Databricks Runtime 5.3 ML Now Generally Available

April 3, 2019 by Yifan Cao and Hanyu Cui in
We are excited to announce the general availability (GA) of Databricks Runtime for Machine Learning, as part of the release of Databricks Runtime...

Introducing Brickchain: Planet-scale Unified Analytics

March 31, 2019 by Bart Samwel and Reynold Xin in
Today we are excited to announce Brickchain , the next generation technology for zettabyte-scale analytics, by harnessing all the compute power on the...

Managed MLflow on Databricks now in public preview

Try this tutorial in Databricks Building production machine learning applications is challenging because there is no standard way to record experiments, ensure reproducible...

How to Work with Avro, Kafka, and Schema Registry in Databricks

February 15, 2019 by Wenchen Fan and Michael Armbrust in
In the previous blog post , we introduced the new built-in Apache Avro data source in Apache Spark and explained how you can...

Accelerating Machine Learning on Databricks: On-Demand Webinar and FAQ Now Available!

February 4, 2019 by Hossein Falaki and Adam Conway in
Try this notebook in Databricks On January 15th, we hosted a live webinar— Accelerating Machine Learning on Databricks —with Adam Conway, VP of...

Kicking Off 2019 with an MLflow User Survey

January 8, 2019 by Matei Zaharia in
It’s been six months since we launched MLflow , an open source platform to manage the machine learning lifecycle, and the project has...

Introducing Built-in Image Data Source in Apache Spark 2.4

December 10, 2018 by Tomas Nykodym and Weichen Xu in
Introduction With recent advances in deep learning frameworks for image classification and object detection, the demand for standard image processing in Apache Spark...

Apache Avro as a Built-in Data Source in Apache Spark 2.4

Try this notebook in Databricks Apache Avro is a popular data serialization format. It is widely used in the Apache Spark and Apache...

Introducing Databricks Runtime 5.0 for Machine Learning

November 27, 2018 by Andy Zhang, Hanyu Cui and Hossein Falaki in
Six months ago we introduced the Databricks Runtime for Machine Learning with the goal of making machine learning performant and easy on the...

Applying your Convolutional Neural Network: On-Demand Webinar and FAQ Now Available!

November 13, 2018 by Denny Lee and Cyrielle Simeone in
Try this notebook in Databricks On October 25th, we hosted a live webinar— Applying your Convolutional Neural Network —with Denny Lee, Technical Product...