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Big Data and Cloud Computing

It is well known that leveraging the Cloud for high computing work loads for a short span of time is a good business case.

Getting Business insights from Big Data is becoming main stream. Cloud is becoming an ideal choice for that.


What is Big Data?

With the advent of Web 2.0, Social Networking, Mobile Computing, Location Based services, Sensor Networks etc. there is huge amount of data explosion.

 These new breed of data which are typically un-structured or semi structured with huge volume and complexity to handle are termed as "Big Data"


Why analyze Big Data?

Across industries it is becoming important to make sense out of this data and gain competitive advantage.  Below are the few use cases of Big Data:

·         In the Telecom industry, Operators generate 5 to 10 TB of call record day every day. These Big Data can be mined for marketing campaign, network optimization.

·         In the Retail Industry, pricing is a very important attribute. Big Data helps to compare pricing across retailers and product categories and set the optimum price.


Why Cloud Computing for Big Data?

Traditional data management and business intelligence Infrastructure and Tools are good in handling structured and semi-structured limited volume data.  But, they are inadequate to handle the "Big Data".

Cloud infrastructure and a new breed of software ecosystem are powering this Big Data capturing, managing and analyzing challenge.


One common solution is to use Apache Hadoop software stack deployed in the Amazon AWS Cloud EC2 and S3 environment. Hadoop is based on Google's open-license Map Reduce programming model.

Also, Microsoft has recently launched Azure Cloud Big Data service code named Project Daytona.


Some of the challenges which need to be addressed in such a solution are huge data transfer to the Cloud environment, ensuring confidentiality of the data.


Does your enterprise have a plan to get business insights by using Big Data and Cloud?

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