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