Today companies are gathering more and more data but are not certain of what to do with this data. For the last five years, companies are getting in to the big data practices in order to get competitive advantage. Big data is basically using analytical software to visualize unstructured data (data available to the public) and structured data (companies propriety information) .This visualization does wonders, it gives predictive sales figures, future prospective of the company and sales target .Gathering information is getting simpler with the emerging software & IoT; but sorting and filtering the huge pile of data is a complicated process.

According to a new report, an analyst spends about 50-90% of their time in just cleaning and filtering the raw data. Companies can solve this problem by improving the data software where data can have lower level of risk for data scientist and algorithms can help in data cleaning.

To know more: http://www.zdnet.com/article/big-datas-biggest-problem-its-too-hard-to-get-the-data-in/

IoT has been present since long. But, recently this concept has achieved infinite fame with its easy to use nature and its feature of simplifying the complex devices. With IoT’s horizon widening and Microsoft being the Cloud software giant, with its program called, Azure, there are humongous possibilities of getting the benefits of both by combining their usage.

Kevin Miller, Microsoft’s Principal Program Manager for Azure IoT, has shared best practices for creating IoT solutions with Azure. They are:

• Think big. Start small
• Telemetry First
• Stream Analytics
• Don’t interrupt the fast path
• Defense in depth

Follow these guidelines and try the magic that this synergy provides.

To know more, please read the following article by Jonathan Allen at infoq.com:

http://www.infoq.com/news/2015/04/Azure-IoT