Big data as the name suggests refers to data sets that are so large or complex that traditional data processing applications are inadequate to deal with them.
Data is comprised of bits and bytes, and as individuals we come across huge and variety of data in our every-day lives. The value of this data can only be understood when we can identify patterns, mixtures, trends and clusters within the data that then trigger questions to better understand our businesses. Thus understanding of Big Data helps individuals to understand data and start identifying the patterns and trends that would otherwise go unnoticed.
The term “big data” training often refers simply to the use of predictive analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set.
Big Data is often characterized by 3Vs: the extreme volume of data, the wide variety of data types and the velocity at which the data must be processed.
Volume: Refers to amount of data. It is the task of big data to convert large volume data into valuable information.
Variety: Unstructured and semi-structured data types, such as audio, video and text require additional processing to derive meaning. Big data draws from text, images, audio, video, and completes missing pieces through data fusion..
Velocity: This refers to fast rate at which data is received and perhaps acted upon. The highest velocity data normally streams directly into memory versus being written to disk. Big data is often available in real-time.
In order to cater to huge market demand for Big Data professionals, AIG offers training and certification through its highly specialized team of professionals from the industry who will help you understand Big Data through practical and case studies.