January 2003
Intermediate to advanced
300 pages
15h 18m
English
Content preview from Data Quality
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8.6 Closing Remarks 17 !
It is very common for transformation routines not to include logic for
handling the NULL condition. This is a source of many problems in trying to
get data moved and aggregated. Data profiling should have identified all of the
relevant information needed for proper handling and transformation of
NULL values.
Cleansing Data Before Performing More Data Profiling
It is often valuable to clean up some of the data problems before moving to
later steps of data profiling. This is because data inaccuracies and inconsisten-
cies can distort the discovery processes of later steps. This
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