Introduction:

Big data is a term used for large and complex data sets. Big data refers to the use of user behavior analytics, or other advanced data analytics methods that extract information from data. Big data analytics can find new correlation to spot trends, prevent diseases. Scientists, Business executives, meet difficulties with large data sets including internet search, finance, and business informatics.

Driven by specialized analytics systems and software, big data anaytics can increase various business benefits, including effective marketing, better customer services, improved operational efficiency and revenue opportunities. Big data analytics Solutions enable business executives and other analytics professionals to analyze growing volums of structured transactions data.

Big Data Analytics Tools

Semi structured and unstructured data types typically don’t fit well in traditional data warehouses that are based on relational databases. Data warehouses may not be able to handle the processing demands. As a result, many organizations that collect, process and analyze big data turn to companion tools.

Big Data Analytics Uses :

Big data analytics often include data from both external sources and internal systems, like demographic data, weather data on consumer, compiled by third party information services providers. Streaming analytics applications are become common in big data field.

Through big data analytics, error within organization are known instantly. Real time insight into errors helps companies react quickly. This can save the operation from falling behind or falling completely or it can save your customers from having to stop using your products.

New strategies of your competition are noticed immediately. Through big data analytics, you can stay one step ahead of competitors or get notified the moment your direct competitor changed.

On high scale, big data analytics technologies and techniques provide a means of analyzing data sets and drawing conclusions about them to help organizations make informed business decisions. Business intelligence queries answer basic questions about business operations and performance. Big data analytics is a type of advanced analytics, that involves complex applications with elements like predictive models.