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...
Timeful Chooses Databricks to Enable Intelligent Time Management
We are thrilled to announce that Timeful chose Databricks to enable intelligent time management with data analytics. Timeful helps its users manage their...
Learning how to write Apache Spark applications in Databricks with the Integrated Search feature
We built Databricks on top of the Apache Spark framework to make data analysis simple. In the same spirit, we want to make...
PanTera Big Data Visualization Leverages the Power of Databricks
This is a guest blog from our one of our partners: Uncharted formerly known as Oculus Info, Inc. About PanTera TM PanTera was...
Databricks Launches "Jobs" Feature for Production Workloads
Databricks now includes a new feature called Jobs, enabling support for running production pipelines, consisting of standalone Spark applications. Jobs includes a scheduler...