Big data is an unconventional process of computing and handling large datasets when traditional mining and handling techniques become obsolete due to the large size of data to be processed. Large datasets refer to huge amount of unstructured or time sensitive date which can not be processed by relational database engines. These large datasets need a different approach popularly know as big data, that utilizes massive parallelism on specifically designed hardware.

In simple words, big data shows us the changes which technology has brought with time. The more things change, the more we become technologically equipped, the need to record and compute huge amounts of data will increase. For example, the detection and forecast of weather depends on the recording and computation of a large amount of data, agencies have collected over the years to predict what kind of weather prevails at a certain time of the year in a particular geographical location. It is a large dataset, sensitive to the time scales and other affecting factors, where real-time processing is needed and where large amount of inputs can be either machine generated, observations or some recent events.

These kinds of processes reflect why big data has become so important in the landscape of Information Technology.

Mostly, all the data collected these days is random and requires processes to find a pattern which reflects not only the factors which affected the past but also insightful information about the future.

With the advent of technology, we possess sky-rocketing computational power, resulting into more such processes for which blanket term big data is used.

At the turn of the century, Gartner Doug Laney introduced “three Vs of big data” to explain what the term stands for.

First V stood for volume, reflecting the magnitude of data which needs to be processed in big data.

Second V points towards the velocity at which this data is processed. In most of the big data processes, data is frequently flown from multiple sources to gain real time insight.

Third V is for the variety of data being processes and their relative equality in the whole process.

If you’d like to start an exciting journey into the world of big data, ce sure check out Wiley’s big data analytics course.

Wiley Online Training is among the global leaders in international training for CPACFAFRMCMT,  CMAPMP & Data Science & Analytics. It has helped over 500,000 professionals across the globe. With Wiley Online Training, 9 out of 10 students pass their exams. Want to find out more? Call us at 0120-6291100/01 or drop us a quick message here.


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