Page 357 - Data Architecture

Chapter 9.1: Repetitive Analytics: Some Basics
Fig. 9.1.12 The differences between results obtained from a sample data base and
a fully populated data base.

Filtering Data

There are many reasons why filtering data—especially big data—is a common practice.
The actual practice of filtering data can be done on almost an attribute or any attribute
value found in the database.

Fig. 9.1.13 shows that filtering data can be done many ways.

Fig. 9.1.13 Filtering data.

While data can be filtered, at the same time, the data can be edited and manipulated. It is
common practice for the output of the filtering process to create records that have some

means of ordering the records. Usually, the ordering is done by the inclusion of uniquely
valued attributes. For example, the output relating to a person may have the data relating
to the person's social security number as part of the output. Or the filtered output for
manufacturing goods may have attributes of the part number along with lot number and
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