Findify’s Smart Search Gets Smarter with Apache Spark MLlib and Databricks
Spark Summit East is just around the corner! If you haven’t registered yet, you can get tickets here with this promo code for...
How Elsevier Labs Implemented Dictionary Annotation at Scale with Apache Spark on Databricks
Spark Summit East is just around the corner! If you haven’t registered yet, you can get tickets here with this promo code for...
Inneractive Optimizes the Mobile Ad Buying Experience at Scale with Machine Learning on Databricks
We are happy to announce that Inneractive chose Databricks as their primary data warehousing and analytics platform — allowing them to ingest and...
Deep Learning with Apache Spark and TensorFlow
Neural networks have seen spectacular progress during the last few years and they are now the state of the art in image recognition...
Elsevier Labs Deploys Databricks for Unified Content Analysis
We are happy to announce that Elsevier Labs has deployed Databricks as its unified content analysis platform, providing significant productivity gains for the...
Spark Survey 2015 Results are now available
We ran the Spark Survey 2015 this summer to gain insights on how organizations are using Apache Spark. The results of this year’s...
Apache Spark 1.5 Preview Now Available in Databricks
We are excited to announce that starting today, Apache Spark 1.5.0 is available as a preview in Databricks. Our users can now choose...
Helping the Democratization of Big Data
When we started Databricks, we thought that extracting insights from big data was insanely difficult for no good reason. You almost needed an...
Announcing SparkHub: A Community Site for Apache Spark
Today, we are happy to announce SparkHub , a service for the Apache Spark community to easily find the most relevant Spark resources...
MyFitnessPal Delivers New Feature, Speeds up Pipeline, and Boosts Team Productivity with Databricks
To learn more about how Databricks helped MyFitnessPal with analytics, check out an earlier article in Wall Street Journal (log-in required). We are...