The use of advanced analytic techniques against very large, diverse big data sets which could be any one or all of the kinds as structured data, semi-structured data, or unstructured data from various sources and in different sizes which could be in a terabyte, zettabyte, or more is referred as big data analytics.
The idea of big data has been around for quite a long time; most companies currently get that if they catch every one of the information that streams into their organizations, they can apply analytics and get information worth from it.
It may be characterized as informational collections whose size is past the capacity of traditional databases to catch, oversee and measure the information with low latency. Qualities of large information incorporate high volume, high speed, and high assortment. Wellsprings of information are turning out to be more complicated than those for traditional data since they are being driven by man-made reasoning (AI), cell phones, web-based media, and the Internet of Things (IoT).
Enormous data analytics assists organizations with tackling their information and using it to distinguish new opportunities. Thus higher benefits prompt more astute business moves, more proficient activities, and more joyful clients.