Case Study: Big Data Cloud Computing – Part 1

Grazed from Qubole.  Author: Moran Altarac.

Scalability of cloud databases and the potential of big data cloud computing is the most challenging aspect when designing an elastic data architecture. It is technically complex to scale data storage and computing. At the same time premature optimisation for potentially superfluous scalability carries a sizeable economic risk and opportunity cost. 

Today, technology firms and departments contemplating scalable database architectures have numerous database management systems and options of running them. Specifically NoSQL systems with flexible, de-normalized data schema have gained increasing market share with the rise of big data. Cloud and virtual computing resources and particularly Hadoop as a service are a paradigm shift. They introduced flexible architectures with managed technology and they transformed capital expenditure to operational one. Together NoSQL and cloud computing promise to bridge the gap between cheap and scalable data architectures…

 This two part series introduces a case study leveraging cloud databases and cloud computing. It illustrates typical requirements leading to their adoption and compares costs and benefits. The first part introduces the scenario with a cloud database scalability challenge and two popular NoSQL key-value database systems to address it. The second part of the series introduces how the computing demand can be met in an elastic, simple, and economic fashion…

Read more from the source @ http://www.qubole.com/blog/case-study-big-data-cloud-computing-part-1/