Communities
A collaborative platform to connect and grow with like-minded Informaticans across the globe
Product Communities
Connect and collaborate with Informatica experts and champions
Discussions
Have a question? Start a Discussion and get immediate answers you are looking for
User Groups
Customer-organized groups that meet online and in-person. Join today to network, share ideas, and get tips on how to get the most out of Informatica
Get Started
Community Guidelines
Knowledge Center
Troubleshooting documents, product guides, how to videos, best practices, and more
Knowledge Base
One-stop self-service portal for solutions, FAQs, Whitepapers, How Tos, Videos, and more
Support TV
Video channel for step-by-step instructions to use our products, best practices, troubleshooting tips, and much more
Documentation
Information library of the latest product documents
Velocity (Best Practices)
Best practices and use cases from the Implementation team
Learn
Rich resources to help you leverage full capabilities of our products
Trainings
Role-based training programs for the best ROI
Certifications
Get certified on Informatica products. Free, Foundation, or Professional
Product Learning Paths
Free and unlimited modules based on your expertise level and journey
Resources
Library of content to help you leverage the best of Informatica products
Tech Tuesdays Webinars
Most popular webinars on product architecture, best practices, and more
Product Availability Matrix
Product Availability Matrix statements of Informatica products
SupportFlash
Monthly support newsletter
Support Documents
Informatica Support Guide and Statements, Quick Start Guides, and Cloud Product Description Schedule
Product Lifecycle
End of Life statements of Informatica products
Ideas
Events
Change Request Tracking
Marketplace
English
  • Informatica Data Quality 10.4.0
  • All Products

Table of Contents

Search

  1. Preface
  2. Part 1: Introduction to Profiles
  3. Part 2: Profiling with Informatica Analyst
  4. Part 3: Profiling with Informatica Developer

Profile Guide

Profile Guide

Back Next

Sampling Options

Sampling Options

Configure the sampling options to determine the number of rows that the profile reads during a profiling operation.
The following table describes the sampling options:
Property
Description
All Rows
Chooses all rows in the data object.
First
The number of rows that you want to run the profile against. The Developer tool chooses the rows from the first rows in the source. You can choose a maximum of 2,147,483,647 rows.
Random Sample of
The random sample algorithm chooses the rows at random in the data object to run the profile on. You can choose a maximum of 2,147,483,647 rows.
Random Sample (Auto)
Random sample size is computed based on the number of rows in the data object.
Exclude approved data types and data domains from the data type and data domain inference in the subsequent profile runs
Excludes the approved data type or data domain from data type and data domain inference from the next profile run.
After you choose to run the profile on a random sample of rows, the random sample algorithm chooses the rows at random in the data object to run the profile on. When you choose a random sampling option for column profiles, the Developer tool performs drilldown on the staged data. This can impact the drill-down performance. When you choose a random sampling option for data domain discovery profiles, the Developer tool performs drill down on live data.
0 COMMENTS
We’d like to hear from you!