Big Data Versus Massive Data

This post is based on a topic covered in Big Data: Preparing, Sharing, and Analyzing Complex Information, by Jules J Berman.In yesterday's blog, we discussed the differences between Big Data and small data.  Today,   I wanted to briefly discuss the differences between Big Data and massive data.Big Data is defined by the three v's: 1. Volume - large amounts of data;.2. Variety - the data comes in different forms, including traditional databases, images, documents, complex records;.3. Velocity - the content of the data is constantly changing, through the absorption of complementary data collections, through the introduction of previously archived data or legacy collections, and from streamed data arriving from multiple sources. It is important to distinguish Big Data from "lotsa data" or "massive data".  In a Big Data Resource, all three v's must apply.  It is the size, complexity, and restlessness of Big Data resources that account for the methods by which these resources are designed, operated, and analyzed.The term "massive data" or "lotsa data" is often applied to enormous collections of simple-format records.  Massive datasets are typically equivalent to enormous spreadsheets (2-dimensional tables of columns and rows), mathematically equivalent to an immense matrix. For scientific purposes, it is sometimes necessary to analyze all of the data in a matrix, all at once.  The analyses of enormous matrices is computationally intensive, a...
Source: Specified Life - Category: Pathologists Source Type: blogs