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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...

Near-Real-Time Hardware Failure Rate Estimation with Bayesian Reasoning

February 14, 2019 by Sean Owen in
Try this notebook in Databricks You might be using Bayesian techniques in your data science without knowing it! And if you're not, then...

Announcing Databricks Runtime 5.2

February 5, 2019 by Nakul Jamadagni in
We are excited to announce the release of Databricks Runtime 5.2 which introduces several new features including the following: Delta Time Travel Fast...

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...

Databricks Runtime 5.2 ML Features Multi-GPU Workflow, Pregel API, and Performant GraphFrames

January 30, 2019 by Yifan Cao and Joseph Bradley in
We are excited to announce the release of Databricks Runtime 5.2 for Machine Learning. This release includes several new features and performance improvements...

5 Reasons to Become an Apache Spark Expert

January 15, 2019 by Michael Ortega in
Apache Spark ™ has fast become the most popular unified analytics engine for big data and machine learning. It was originally developed at...

Apparate: Managing Libraries in Databricks with CI/CD

January 15, 2019 by Hanna Torrence in
This is a guest blog from Hanna Torrence, Data Scientist at ShopRunner. Introduction As leveraging data becomes a more vital component of organizations'...

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 Databricks Library Utilities for Notebooks

Databricks has introduced a new feature, Library Utilities for Notebooks, as part of Databricks Runtime version 5.1. It allows you to install and...

Introducing Databricks Runtime 5.1 for Machine Learning

Last week, we released Databricks Runtime 5.1 Beta for Machine Learning. As part of our commitment to provide developers with the latest deep...