Profiling and Discovery Sizing Guidelines

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Overview

You can use the sizing estimates to optimally run the profile jobs in your organization based on your performance requirements. As a profile administrator or system architect, you need to have a good understanding of the Data Integration Service and Profiling Service Module that have performance characteristics based on the hardware and software configurations.

The Data Integration Service includes modules that manage data transformation processes. The Profiling Service Module is a module in the Data Integration Service that manages request to run profiles and generate scorecards.

Consider the following important factors for profile sizing:

The total number of users on the system and typical number of users that run profiling jobs.

The mix of profile jobs, such the number and type of profiles you plan to run.

The general characteristics of the data sources, such as the typical number of rows, number of columns, and average column width.

A breakdown of the data sources by type, such as flat files, relational sources, and non-relational sources.

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Table of Contents

Profiling and Discovery Sizing Guidelines

Profiling and Discovery Sizing Guidelines

Overview

Overview