Both Amazon Web Services and Microsoft Azure, offer a wide range of database services. But, when choosing between Azure and AWS for a data management platform, a business needs to be clear about their requirement. Organizations can ask several questions like: Will your enterprise use the database for analytics or transaction processing applications? Do you need a relational or NoSQL database? Does your enterprise prefer a database as a service (DBaaS) option over managing its own instance? To know more about these, follow: http://searchaws.techtarget.com/tip/Azure-or-AWS-A-cloud-database-comparison?utm_medium=EM&asrc=EM_NLN_47247618&utm_campaign=20150907_The%20public%20vs.%20private%20cloud%20cost%20debate_fchurchville&utm_source=NLN&track=NL-1839&ad=902777&src=902777

With the advent of Big Data and technologies that can handle data in real time, Big Data is now reshaping the landscape of security with radical changes in the analytics methods being used. While most security specialists admit that perfect protection is not possible, using Big Data can help in increasing the prediction accuracy of attacks. Generating data for each user signature for example and storing them in NoSQL databases made them scalable. The motivation was to allow relocation of security information and improved monitoring for systems. As companies move from descriptive analytics to predictive analytics, the scope of Big Data in security greatly increases. Read at: http://www.techrepublic.com/blog/big-data-analytics/how-big-data-is-changing-the-security-analytics-landscape/