Introduction

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Data Profiling

Use

Data Profiling

to create and run

data profiling

tasks. In

Data Profiling

data profiling

tasks are also called profiles.

When you run a profile on a source object, the results include the following column statistics:

Number of distinct, non-distinct, and null values

Percentage of distinct, non-distinct, and null values

Documented and inferred data types

Number of patterns

Percentage of top pattern

Maximum and minimum length of values

Maximum and minimum values

Average, sum, and standard deviation for numeric data types

Value frequencies

Outliers

You can run

data profiling

tasks on relational data sources and flat file data sources.

When you select

Data Profiling

from the

My Services

page, the

Explore

page appears as shown in the following image:

You can access the following pages from the navigation bar for

Data Profiling

New. Create

data profiling

tasks.

Explore. Create and manage projects, folders, and assets.

My Jobs. View the status of your

data profiling

and exception jobs.

My Import/Export Logs. View the status of your imports and exports.

You can open a profiling task and an exception task from the Explore page in Data Quality.

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Table of Contents

Introduction

Introduction

Data Profiling

Data Profiling