Studying the Big Data Paradigm in Dynamics of Its Advance

Introduction

When analyzing an advance of studies, it is important to monitor the life cycle of a subject matter in the close field. In our case for these aims it was required to clarify the phase of life cycle, where the Big Data paradigm is situated.

As well known, a quiverish scientific idea on the science front line becomes a paradigm in that moment or period of time, when resources of science and technology are at the level high enough to advance the idea as long as the self-organization of scientific community generates necessarily some critical host of persons adhering this idea. Right after the moment mentioned articles of normal science appear, they pick up and advance the idea. If the critical host of adherents is not reached or if the idea is scarified by opponents and rejected at the popularity growth stage, in these conditions no new paradigm arises.