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MLflow v0.3.0 Released

July 24, 2018 by Aaron Davidson and Jules Damji in
Today, we’re excited to announce MLflow v0.3.0, which we released last week with some of the requested features from internal clients and open...

A Guide to AI, Machine Learning, and Deep Learning Talks at Spark + AI Summit Europe

July 23, 2018 by Jules Damji in
Within a couple of years of its release as an open-source machine learning and deep learning framework, TensorFlow has seen an amazing rate...

Simplify Advertising Analytics Click Prediction with Databricks Unified Analytics Platform

July 19, 2018 by Tony Cruz and Denny Lee in
Read Rise of the Data Lakehouse to explore why lakehouses are the data architecture of the future with the father of the data...

Simplify Streaming Stock Data Analysis Using Databricks Delta

July 19, 2018 by John O'Dwyer and Denny Lee in
Traditionally, real-time analysis of stock data was a complicated endeavor due to the complexities of maintaining a streaming system and ensuring transactional consistency...

Make Your Oil and Gas Assets Smarter by Implementing Predictive Maintenance with Databricks

July 19, 2018 by Don Hillborn and Denny Lee in
How to build an end-to-end predictive data pipeline with Databricks Delta and Spark Streaming Maintaining assets such as compressors is an extremely complex...

Announcing Databricks Runtime 4.2!

July 18, 2018 by Todd Greenstein in
We’re excited to announce Databricks Runtime 4.2, powered by Apache Spark™. Version 4.2 includes updated Spark internals, new features, and major performance upgrades...

Apache Spark™ Clusters in Autopilot Mode

Apache Spark™ is a unified analytics engine that helps users use a single distributed computing framework for various use cases. With the advent...

Scalable End-to-End Deep Learning using TensorFlow™ and Databricks: On-Demand Webinar and FAQ Now Available!

On July 9th, our team hosted a live webinar— Scalable End-to-End Deep Learning using TensorFlow™ and Databricks —with Brooke Wenig, Data Science Solutions...

How to Use MLflow, TensorFlow, and Keras with PyCharm

July 10, 2018 by Jules Damji in
At Data + AI Summit in June, we announced MLflow , an open-source platform for the complete machine learning cycle. The platform’s philosophy...

Analyze Games from European Soccer Leagues with Apache Spark and Databricks

July 9, 2018 by Abhinav Garg and Denny Lee in
Try this notebook series in Databricks Introduction The global sports market is huge, comprised of players, teams, leagues, fan clubs, sponsors, etc., and...