Data Quality

There are manv technologies that apply

to

creatins and maintaining an effec-

tive

data

quality

assurance program. Professionals

in

this

area

need

to

be

familiar

with

a11

of

the

prima?

ones:

data

profiling.

data

cleansing,

metadata

repoqitories,

data

filtering, and

data

monitoring.

This

book

is

focused

on

data

accuracy. The most important technology

for

data accuracy

is

data profiling.

The

remainder

of

this

book

is

devoted

to

that

single technologv.

Data profiling

is

defined

as

the use

of

analytical techniques to discover

the

true Structure, content,

and

quality

of

a

collection

of

data.

It

uses

as

input

both

any known metadata about the ...