Services

Big Data Consulting And Analytics Services

Big data term has been used since the 1990s, with some credit given to John Mashay for popularizing the term big data. Big data basically used to set the data with its sizes and beyond the ability of commonly used software tools to capture, curate, manage, and process data within a tolerable elapsed time. Big data surrounds unstructured, semi-structured, and structured data, however, the main focus is on unstructured data. Big data "size" is a continuously moving target; as of 2012 ranging from a few dozen zettabytes to many terabytes of data. Big data requires a set of methodology and methodologies with new forms of combination to reveal insights from data sets that are various, complex, and of a massive scale.

"diversity", "veracity" and various other "Vs" are added by some companies to describe it, an emendation challenged by some industry authorities. The Vs of big data was often referred to as the "three Vs", "four Vs", and "five Vs". They represented the standard of big data in volume, diversity, velocity, veracity, and value. Variability is often included as an additional standard of big data.

Big data vs. business intelligence

The growing maturity of the concept more starkly delineates the difference between "big data" and "business intelligence".

• Business brainpower used by  applying mathematical tools and expressive figures with data with high information solidity to measure things to detect trends, etc.
• Big data used for mathematical survey, optimization, inductive statistics, and concepts from nonlinear system spotting to infer laws (regressions, nonlinear relationships, and causal effects) from large sets of data with low information solidity] to release connection and dependencies, or to perform prophecy of outcomes and behaviors.

•  Methodology for survey data, such as A/B testing, machine learning, and basic language procedure
• Big data methodology, like business brainpower, cloud computer typing and databases
• Perception, such as diagrams, graphs, and other displays of the data