filtering and distillation processing 265–266
internal, external data 261
metrics 267–268
security 263–265, 263 f
universal identifiers 262
Repetitive analytics 231
analyzing points of data 246 , 247 f
bias of the sample 241 , 241 f
data over time 247–249
distillation and filtering processing 238–239, 239 f
filtering data 242–243
freezing data 236
heuristic processing 234–236
kinds of analysis 231–232
linking repetitive records 244–245
log tape records 245–246
normal profile 238 , 238 f
outliers 247 , 247 f
patterns 232–234
repetitive data and context 243–244
sandbox 237 , 237 f
subsetting data 240–241
Repetitive big data 9
Repetitive data 269
analysis of 251 , 252 f
active/passive indexing of data 255–256
block of data 251 , 252 f
elements in 251 , 252 f
linking data 259–260
log data 253–255
metadata, in big data 257–259, 259 f
parsing of 252
summary/detailed data 256–257, 257 f
application-specific nature of 87 , 87 f
big data context in 77–78, 77–78f
and context 243–244
contextual data on 86 , 86 f
parsing of 85 , 85 f
Index