Deep Learning on Databricks
We are excited to announce the general availability of Graphic Processing Unit (GPU) and deep learning support on Databricks! This blog post will...
Scalable Partition Handling for Cloud-Native Architecture in Apache Spark 2.1
Apache Spark 2.1 is just around the corner: the community is going through voting process for the release candidates. This blog post discusses...
On Demand Webinar and FAQ: Apache Spark MLlib 2.x: Migrating ML Workloads to DataFrames
Last week, we held a live webinar, Apache Spark MLlib 2.x: Migrating ML Workloads to DataFrames , to demonstrate the ease with which...
Apache Spark Scala Library Development with Databricks
Try this notebook in Databricks The movie Toy Story was released in 1995 by Pixar as the first feature-length computer animated film. Even...
Integrating Apache Airflow and Databricks: Building ETL pipelines with Apache Spark
This is one of a series of blogs on integrating Databricks with commonly used software packages. See the “What’s Next” section at the...
On-Demand Webinar and FAQ: How to Evaluate Cloud-based Apache Spark Platforms
Last week, we held a live webinar, How to Evaluate Cloud-based Apache Spark Platforms , to help those who are currently evaluating various...
Oil and Gas Asset Optimization with AWS Kinesis, RDS, and Databricks
The key to success is consistently making good decisions, and the key to making good decisions is having good information. This belief is...
Databricks Bi-Weekly Apache Spark Digest: 11/16/16
Spark Summit Talks and Apache Spark Roundup Databricks and partners set a new world record for CloudSort 2016 Benchmark using Apache Spark...
$1.44 per terabyte: setting a new world record with Apache Spark
We are excited to share with you that a joint effort by Nanjing University, Alibaba Group, and Databricks set a new world record...
Databricks Launches a Comprehensive Guide for Its Product and Apache Spark
We are proud to announce the launch of a new online guide for Databricks and Apache Spark at docs.databricks.com . Our goal is...