parsing process (as does all unstructured data). But because the data are structurally
repetitive, once the analyst has parsed the first record, all subsequent records will be
parsed in exactly the same manner. Because of this parsing, repetitive data in big data
still must be done. But doing parsing for repetitive data is an almost trivial thing to do.
Fig. 9.1.16 shows that context for repetitive data is usually easy to find and determine.
Fig. 9.1.16 Finding the context of repetitive data.
When looking at repetitive data, most data are fairly unexceptional. About the only
interesting data that occur are in terms of values that occur inside repetitive data. As an
example of interesting values occurring, consider retail sales. Most retail sales for a
retailer are from $1.00 to $100.00. But occasionally, an order is for greater than $100.00.
These exceptions are of great interest to the retailer (Fig. 9.1.17).
Chapter 9.1: Repetitive Analytics: Some Basics