What is Big Data

Characteristics of Big Data

Volume, Variety, and Velocity

instrumentation

able to sense more things and tend to try and store it

Big data

applies to information that can't be processes or analyzed using traditional processes or tools

Volume

as the amount of data available to the enterprise is on the rise, the percent of data it can process, understand, and analyze is on the decline

Stream computing

concept that IBM has been delivering on for some time and serves as a new paradigm for the Big Data problem

IBM

created a whole model around helping businesses embrace this change via Smart Planet platform (to recognize the world is now Instrumented, Interconnected, and Intelligent)

Velocity

how quickly the data is arriving and stored, and its associated rates of retrieval

Variety

represents all types of data- a fundamental shift in analysis requirements from traditional structured data to include raw, semistructured, and and unstructured data as part of the decision-making and insight process

Effective Big Data

requires you to perform analytics against the volume and variety of data while it is still in motion, not just at rest

interconnectivity (machine to machine M2M)

responsible for double-digit year over year (YoY) data growth rates

Smart Planet

technology and techniques promote the understanding and harvesting of the world's data reality to provide opportunities for unprecedented insight and the opportunity to change the way things are done