Intelligence in QDS
|September 27, 2016
The concept of intelligent automation has always played a key role in Qubole Data Service (QDS). It’s one of the main reasons why we can…
The Cloud Advantage: Decoupling Storage and Compute
|August 11, 2016
When Hadoop is deployed with on-premises architecture, compute and storage are combined together. As a result, compute and storage must be scaled together and the…
3 Major Challenges to Implementing Big Data
|April 29, 2016
With all the hype, it’s little wonder that organizations are getting caught up by the idea of having their own big data initiatives. But as…
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…
Apache Spark vs. Hadoop Which Big Data Framework is the Best Fit?
|December 17, 2015
Apache Hadoop wasn’t just the “elephant in the room”, as some had called it in the early days of big data. Hadoop was the room.…
How to Choose a Big Data-as-a-Service Company
|October 29, 2015
The world of big data is all around us. Transactions, sensors, social media, mobile devices, wearables, and a host of other sources are generating datasets…
Infographic: 5 Crucial Considerations for Big Data Adoption
|August 20, 2015
Big data has the potential to enhance, evolve and drive business, but big data adoption must be carefully planned and executed in order to be…
SQL-On-Hadoop Evaluation by Pearson
|August 13, 2015
This is a guest post written by Sumit Arora, Lead Big Data Architect at Pearson, and Asgar Ali, Senior Architect at Happiest Minds Technologies Pvt.,…
NoSQL and Big Data: Is a NoSQL Database for You?
|July 9, 2015
Big data is getting bigger and more chaotic every day. Thanks to the Internet, social media, mobile devices and other technologies, massive volumes of varied…
Cloud vs. On-Premise Hadoop Providers: Top 5 Questions From A Business Perspective
|January 20, 2014
As topics of conversation go, the terms “Big Data” and “Hadoop functionality” seem more appropriate for IT and CIO’s than for CEO’s and CFO’s. And…
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