AWS Spot Blocks – New Way to Reserve Spot Instances in QDS
|April 13, 2017
Co-authored by Goden Yao, Product Manager, Qubole and Somya Kumar, Member of the Technical Staff, Qubole As of today, Qubole Data Service (QDS) now supports…
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Qubole announces Heterogeneous Clusters on AWS – Reduce costs up to 90% with Spot Fleet
|November 30, 2016
Co-authored by Hariharan Iyer, Member of the Technical Staff at Qubole. Introduction Big data engines like Hadoop and Spark are known to work well when…
Up to 80% savings with AWS Spot Instances
|July 21, 2016
In a previous post, we outlined the case for selecting cloud infrastructure over an on-premises deployment for managing big data workloads. Taking advantage of Spot…
The Big Data Lifecycle At TubeMogul
|April 29, 2016
This post was written by Chris Chanyi, Senior Data Architect at TubeMogul. It originally appeared here. TubeMogul handles over a trillion HTTP requests a month.…
Moving past infrastructure limitations
|March 24, 2016
This is a guest post written by Rory Sawyer, Software Engineer at MediaMath Here at MediaMath, we’re quite fond of data. It would be surprising…
Infographic: Big Data Belongs in the Cloud
|February 4, 2016
Big Data infrastructure is complex, difficult to build and operate, and often requires highly specialized talent to maintain. To alleviate these challenges, businesses are turning…
Riding the Spotted Elephant
|November 12, 2015
Introduction: One of the benefits of moving Hadoop workloads to the cloud is reducing cost and risk. No up front capital expense on hardware is…
Rebalancing Hadoop Clusters for Higher Spot Utilization
|June 9, 2015
Running Hadoop clusters efficiently is an important customer use case at Qubole. When running in AWS, this often means using Spot instances efficiently. In this…
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