challenge of 374–375, 376 f
in nonrepetitive data 79–80, 79–80f
in repetitive data 77–78, 77–78f, 243–244
Context-enriched section, big data 215–216, 217 f
Contextualization 16
of repetitive unstructured data 99–100
unstructured data 93–95, 94 f, 96 f
Continental divide, data architecture 4 , 4 f
Corporate computing 183
Corporate data 7 , 49–50
analysis of 27 , 28 f
categorization 30–31, 30 f
data integration 29
diverse sources of 27 , 28 f
formal analysis 27
informal analysis 27
key performance indicators 31
many problems of 28
normalization 29–30, 30 f
business relevancy relates to 22 , 23 f, 24–25, 25 f
classification of 13
demographics of 21–25
division of 21 , 22 f
nonrepetitive unstructured data 24 , 24 f
potentially business-relevant records 24
ratios of repetitive data 21 , 22 f
repetitive unstructured data 21–24, 22 f
structured data 23 , 24 f
Corporate data models 340–343
application models 343 , 343 f
data warehouse 343 , 344 f
generic data models 342 , 342 f
Corporate decision-making 331 , 334
Corporate information infrastructure 34
Corporate information systems 33
Coupled processors 41–42, 42 f
Crawler technology 256
Current valued data 126–127
Index