There are four dimensions of data science challenges
The dimensions of data science challenges are:
There are twelve sub dimensions in data science challenges
The sub dimensions of Data Flow are : collection, storage, preservation and movement
This dimension of data science concerns factors intrinsic to the nature of data itself.
concerns manipulating and recording data flow. Adding context and making data reusable and discoverable
processes transform data into forms such as statistical summaries, reports, and graphics that describe the data
volume, velocity, and variety present problems along all three dimensions of data science challenges.
Three main components that will be critical to the success of the NCDS are :
National ____________ for Data Science
is the systematic study of digital data using scientific techniques of observation, theory development, systematic analysis, hypothesis testing, and rigorous validation
is classified as data that exceeds the capacity of traditional systems.
Challenges arise from the amount of
data that must be processed.