Informatica Data Quality

Data Quality for Microsoft Excel Guide

Read the Data Quality for Microsoft Excel Guide to learn how you can apply data quality rules to data in Microsoft Excel worksheets. The rules perform data quality operations such as parsing, cleansing, and standardization. To apply the rules, you run data quality services through Data Quality for Microsoft Excel.

Data Quality for Microsoft Excel Release Notes

This document contains important information about installation and known limitations for Data Quality for Microsoft Excel.

User and Developer Guide

The Data Quality for Microsoft Excel Guide is written for Excel users and data quality developers. This guide assumes that Excel users are familiar with Microsoft Excel. This guide also assumes that data quality developers are familiar with creating data quality mappings and web services.

Address Verification Primer

Address Verification can parse, analyze, verify, and correct address records according to local postal standards. Explore this document to learn the best practices for the product in different countries.

Implementing PowerExchange Express CDC for Oracle in a Non-RAC Environment

This article describes how to implement PowerExchange 10.1 Express CDC for Oracle in a non-RAC Oracle environment on UNIX. It identifies the configuration steps that you perform in Oracle, PowerExchange, and PowerCenter to create a working change data capture (CDC) environment. It also includes example configuration files, tips, and best practices.

Importing PowerExchange Nonrelational Data Objects into Informatica Developer

This article describes how to import PowerExchange data maps into the Developer tool as nonrelational data objects. You can then use the tables that the nonrelational data object contains in mappings, mapplets, and profiles.

Install Data Quality on Docker with Informatica Deployment Manager 10.5.2

Informatica Deployment Manager provides a quick and easy way to install the Informatica domain. This article describes how to install Data Quality on Docker from the Docker image using Informatica Deployment Manager.

Integrating Third-Party Schedulers in ILM Engine

ILM Engine utilizes the Quartz scheduler as the default scheduler. You can also use third-party schedulers. This article shows you how to integrate the third-party schedulers with ILM Engine.

Performance Tuning and Sizing Guidelines for PowerExchange® for Amazon Redshift for PowerCenter® 10.2

When you use PowerExchange for Amazon Redshift for PowerCenter, multiple factors such as data set size, hardware parameters, and mapping parameters, impact the adapter performance. You can optimize the performance by analyzing your data set size, using the recommended hardware, and tuning these parameters appropriately. This article …

Tuning and Sizing Guidelines for Data Engineering Integration (10.4.x)

You can tune Informatica Data Engineering Integration for better performance. This article provides sizing recommendations for the Hadoop cluster and the Informatica domain, tuning recommendations for various Data Engineering Integration components, best practices to design efficient mappings, and troubleshooting tips. This article is …

Download Documentation Set

Send Feedback

Resources

Communities

Knowledge Base

Success Portal