Big Data Analytics

 

Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. With today’s technology, it’s possible to analyze your data and get answers from it almost immediately an effort that’s slower and less efficient with more traditional business intelligence solutions.The new benefits that big data analytics brings to the table, however, are speed and efficiency. Whereas a few years ago a business would have gathered information, run analytics and unearthed information that could be used for future decisions, today that business can identify insights for immediate decisions. The ability to work faster  and stay agile gives organizations a competitive edge they didn’t have before.

Most organizations have big data. And many understand the need to harness that data and extract value from it. Today, there are millions of data sources that generate data at a very rapid rate. These data sources are present across the world. Some of the largest sources of data are social media platforms and networks. Let’s use Facebook as an example it generates more than 500 terabytes of data every day. This data includes pictures, videos, messages, and more. 

Data also exists in different formats, like structured data, semi-structured data, and unstructured data. For example, in a regular Excel sheet, data is classified as structured data with a definite format. In contrast, emails fall under semi-structured, and your pictures and videos fall under unstructured data. All this data combined makes up Big Data. Big Data Analytics has been there in the market for quite some time now. More and more businesses are adopting it to go beyond the traditional ways of data storage and processing.