Big Data In The Cloud

ETL and DWH are my fav and still that is my full time job, but I am just loving to work on some technical POC's of Hadoop and Big Data since last year.

Data is becoming more valuable, its really true. So the demand and value for the Big Data professionals in the market is high these days. That is the reason companies and products based on Hadoop are taking high positions.

As per my knowledge, today Cloudera is leading the technology quadrant.

Recently I was reading a paper published by Intel IT center, and found the information worth to share.

The paper describes how cloud and big data technologies are converging to offer a cost-effective delivery model for cloud-based big data analytics. It also includes: How cloud computing is an enabler for advanced analytics with big data. How IT can assume leadership for cloud-based big data analytics in the enterprise by becoming a broker of cloud services. Analytics-as-a-service (AaaS) models for cloud-based big data analytics. Practical next steps to get you started on your cloud-based big data analytics initiative.

The paper explains about data analytics is moving from batch to real time

 and real time supports predictive analytics.

you can read more on this here.

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Apache Hadoop : is a set of algorithms (an open-source software framework written in Java) for distributed storage and distributed processing of very large data sets (Big Data) on computer clusters built from commodity hardware. All the modules in Hadoop are designed with a fundamental assumption that hardware failures (of individual machines, or racks of machines) are commonplace and thus should be automatically handled in software by the framework.

Cloudera Inc. : is an American-based software company that provides Apache Hadoop-based software, support and services, and training to business customers.

Cloudera's open-source Apache Hadoop distribution, CDH (Cloudera Distribution Including Apache Hadoop), targets enterprise-class deployments of that technology. 

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