Databricks and IBM Collaborate to Enhance Apache Spark Machine Learning
At today’s Spark Summit , Databricks and IBM announced a joint effort to contribute key machine learning capabilities to the Apache Spark Project...
Making Databricks Better for Developers: IDE Integration
We have been working hard at Databricks to make our product more user-friendly for developers. Recently, we have added two new features that...
Simplify Machine Learning on Apache Spark with Databricks
As many data scientists and engineers can attest, the majority of the time is spent not on the models themselves but on the...
Databricks Launches MOOC: Data Science on Apache Spark
For the past several months, we have been working in collaboration with professors from the University of California Berkeley and University of California...
Tuning Java Garbage Collection for Apache Spark Applications
This is a guest post from our friends in the SSG STO Big Data Technology group at Intel. Join us at the Spark...
NTT DATA: Operating Apache Spark clusters at thousands-core scale and use cases for Telco and IoT
This is a guest blog from our one of our partners: NTT DATA Corporation About NTT DATA Corporation NTT DATA Corporation is a...
Big Graph Analytics with LynxKite & Apache Spark
This is a guest blog from our one of our partners: Lynx Analytics About Lynx Analytics Lynx Analytics is a data analytics consultancy...
Analyzing Apache Access Logs with Databricks
Databricks provides a powerful platform to process, analyze, and visualize big and small data in one place. In this blog, we will illustrate...
The Easiest Way to Run Apache Spark Jobs
Recently, Databricks added a new feature, Jobs, to our cloud service. You can find a detailed overview of this feature here . This...
Celtra Scales Big Data Analysis Projects Six-Fold with Databricks
We are thrilled to announce that Celtra selected Databricks to scale its big data analysis projects, increasing the amount of ad-hoc analysis done...