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10th Spark Summit Sets Another Record of Attendance

June 9, 2017 by Jules Damji and Wayne Chan in
We have assembled a selected collage of highlights from Databricks’ speakers at our 10th Spark Summit, a milestone for Apache Spark community and...

Databricks Serverless: Next Generation Resource Management for Apache Spark

As the amount of data in an organization grows, more and more engineers, analysts and data scientists need to analyze this data using...

A Vision for Making Deep Learning Simple

Try this notebook on Databricks When MapReduce was introduced 15 years ago, it showed the world a glimpse into the future. For the...

Making Apache Spark the Fastest Open Source Streaming Engine

June 6, 2017 by Michael Lumb in
We started building Structured Streaming in Apache Spark one year ago as a new, simpler way to develop continuous applications . Not only...

Sharing Knowledge with the Community in a Preview of Apache Spark: The Definitive Guide

Apache Spark has seen immense growth over the past several years. The size and scale of this Spark Summit is a true reflection...

Integrating Apache Spark with Cucumber for Behavioral-Driven Development

This is a guest blog from FIS Global One of the most difficult scenarios in data processing is ensuring that the data is...

It's Almost Time for Spark Summit 2017 in San Francisco

June 1, 2017 by Scott Walent in
Get ready! In less than two weeks, thousands of developers, data scientists, analysts, researchers and business executives from around the world will gather...

Apache Spark Cluster Monitoring with Databricks and Datadog

This blog post is a joint effort between Caryl Yuhas, Databricks’ Solutions Architect, and Ilan Rabinovitch, Datadog’s ‎Director of Technical Community and Evangelism...

Transactional Writes to Cloud Storage on Databricks

In another blog post published today , we showed the top five reasons for choosing S3 over HDFS. With the dominance of simple...

Top 5 Reasons for Choosing S3 over HDFS

At Databricks, our engineers guide thousands of organizations to define their big data and cloud strategies. When migrating big data workloads to the...