Introduction

Introduction

Data Profiling

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:
The image shows the main page in data profiling.You can view new, explore, my jobs, my imporrt/export logs on the navigation bar. You can also view the Default project in the All Projects area. Click New Project to create a project.
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
    jobs.
  • My Import/Export Logs. View the status of your imports and exports.