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  • Data Engineering Quality 10.5.6
  • All Products

Getting Started

Data Quality Getting Started Guide

Read the Data Quality Getting Started Guide to discover the main features and functionality of Data Quality and to learn how to perform data quality tasks in Informatica Developer and Informatica Analyst.

Help for Users

Address Validator Port Reference

Read the Address Validator Port Reference to understand the range of ports that you can choose from when you configure the Address Validator transformation in a mapping in Informatica Developer. Use the Address Validator transformation to verify and enhance the quality of your address records. The Port Reference …

Rule Specification Guide

Read the Rule Specification Guide to learn how to configure rule specifications in Informatica Analyst. A rule specification is an object that represents the data requirements of a business rule in logical form. You can add a rule specification to a mapping in Informatica Developer to verify that the source data in the mapping …

Installation and Upgrade

Data Quality Integration for PowerCenter Guide

Read the Informatica Data Quality Integration for PowerCenter® Guide to find guidelines on setting up and using data quality objects in PowerCenter. You can export mappings with data quality transformations and reference data from a Data Quality environment to a PowerCenter environment. Learn also how to install the Data Quality …

Additional Content

Common Content for Data Engineering 10.5.6

Getting Started

Informatica 10.2.1 Big Data Primer

Basic information about Informatica 10.2.1 Big Data products: Big Data Management, Big Data Quality, Enterprise Data Lake, Big Data Streaming, and Enterprise Data Catalog.

Informatica 10.2.2 Big Data Primer

Click through this primer to get basic information about each Big Data product, along with the services, tools, documentation, and resources associated with the product.

Administration

Supported Upgrade Paths to Big Data 10.2.1 Service Pack 1

Informatica 10.2.1 Service Pack 1 contains various improvements and enhancements to the Informatica domain. Informatica provides a list of supported upgrade paths for users who want to upgrade their product. This article describes the supported upgrade paths to upgrade to Informatica 10.2.1 Service Pack 1.

Security

Enabling SAML Authentication with Azure Active Directory for Web Applications

You can enable users to log into Informatica web applications using single sign-on. This article explains how to configure single sign-on in an Informatica 10.5 domain using Security Assertion Markup Language (SAML) v2.0 and the Azure Active Directory identity provider.

Enabling SAML authentication with Okta SSO for web applications

You can enable users to log into Informatica web applications using single sign-on. This article explains how to configure single sign-on in an Informatica domain using Security Assertion Markup Language (SAML) v2.0 and the Okta SSO identity provider.

Enabling SAML Authentication with Oracle Access Manager for Web Applications

You can enable users to log into Informatica web applications using single sign-on. This article explains how to configure single sign-on in an Informatica 10.5 domain using Security Assertion Markup Language (SAML) v2.0 and the Oracle Access Manager version 12.2.1 identity provider.

Install and Upgrade

10.5.1 Upgrade Paths

When you upgrade from a previous version, follow the supported upgrade paths to ensure a smooth and successful upgrade. This article includes upgrade paths for all products supported in the 10.5.1 Informatica installer.

Deploy Data Engineering Quality on the AWS Cloud Marketplace (10.5.1)

You can deploy Data Engineering Quality on the Amazon Web Services (AWS) Marketplace. This deployment reference includes step-by-step instructions for deploying Data Engineering Quality on the Amazon Web Services (AWS) Marketplace. It also includes information on prerequisites and how to troubleshoot common issues.

Deploy Data Engineering Quality on the AWS Cloud Marketplace (10.5)

You can deploy Data Engineering Quality on the Amazon Web Services (AWS) Marketplace. This deployment reference includes step-by-step instructions for deploying Data Engineering Quality on the Amazon Web Services (AWS) Marketplace. It also includes information on prerequisites, and how to troubleshoot common issues.

Deploy Data Engineering Quality on the AWS U.S. Intelligence Community Marketplace (10.5.1.1)

You can deploy Data Engineering Quality on the Amazon Web Services (AWS) U.S. Intelligence Community Marketplace. This deployment reference includes step-by-step instructions for deploying Data Engineering Quality on the AWS U.S. Intelligence Community Marketplace. It also includes information on prerequisites and troubleshooting.

Deploying the Informatica® Data Engineering Quality 10.4.0 AWS Marketplace Solution

This deployment reference provides step-by-step instructions for deploying Informatica Data Engineering Quality on Amazon Web Services (AWS) from the AWS Marketplace. Automated reference deployments use AWS CloudFormation templates to launch, configure, and run the AWS compute, network, storage, and other services required to deploy a …

Deploying the Informatica® Data Engineering Quality 10.4.0 Microsoft Azure Marketplace Solution

The automated marketplace solution uses Azure Resource Manager to launch, configure, and run the Azure virtual machine, virtual network, and other services required to deploy a specific workload on Azure. This deployment reference guide provides step-by-step instructions for deploying Informatica Data Engineering Quality on the Microsoft …

Deploying the Informatica® Data Engineering Quality 10.4.0 Microsoft Azure Marketplace Solution

The automated marketplace solution uses Azure Resource Manager to launch, configure, and run the Azure virtual machine, virtual network, and other services required to deploy a specific workload on Azure. This deployment reference provides step-by-step instructions for deploying Informatica Data Engineering Quality on the Microsoft Azure Marketplace.

Deploy the Informatica® 10.5.1.1 Data Engineering Quality on the AWS Cloud Marketplace

You can deploy Data Engineering Quality on the Amazon Web Services (AWS) Marketplace. This deployment reference includes step-by-step instructions for deploying Data Engineering Quality on the Amazon Web Services (AWS) Marketplace. It also includes information on prerequisites and how to troubleshoot common issues.

Deploy the Informatica® 10.5.3 Data Engineering Quality Solution on the Microsoft Azure Marketplace

The automated marketplace solution uses Azure Resource Manager to launch, configure, and run the Azure virtual machine, virtual network, and other services required to deploy a specific workload on Azure. This deployment reference provides step-by-step instructions for deploying Informatica Data Engineering Quality on the Microsoft Azure Marketplace.

Deploy the Informatica® Data Engineering Quality Solution on the AWS Cloud Marketplace (10.4.1)

You can deploy Data Engineering Quality on the Amazon Web Services (AWS) Marketplace. This deployment reference includes step-by-step instructions for deploying Data Engineering Quality on the Amazon Web Services (AWS) Marketplace. It also includes information on prerequisites, and how to troubleshoot common issues.

Deploy the Informatica® Data Engineering Quality solution on the AWS Cloud Marketplace (10.5.2)

You can deploy Data Engineering Quality on the Amazon Web Services (AWS) Marketplace. This deployment reference includes step-by-step instructions for deploying Data Engineering Quality on the Amazon Web Services (AWS) Marketplace. It also includes information on prerequisites and how to troubleshoot common issues.

Deploy the Informatica® Data Engineering Quality solution on the AWS Cloud Marketplace (10.5.3)

You can deploy Data Engineering Quality on the Amazon Web Services (AWS) Marketplace. This deployment reference includes step-by-step instructions for deploying Data Engineering Quality on the Amazon Web Services (AWS) Marketplace. It also includes information on prerequisites and how to troubleshoot common issues.

Deploy the Informatica® Data Engineering Quality Solution on the Microsoft Azure Marketplace (10.4.1)

The automated marketplace solution uses Azure Resource Manager to launch, configure, and run the Azure virtual machine, virtual network, and other services required to deploy a specific workload on Azure. This deployment reference provides step-by-step instructions for deploying Informatica Data Engineering Quality on the Microsoft Azure Marketplace.

Deploy the Informatica® Data Engineering Quality Solution on the Microsoft Azure Marketplace (10.4.1)

The automated marketplace solution uses Azure Resource Manager to launch, configure, and run the Azure virtual machine, virtual network, and other services required to deploy a specific workload on Azure. This deployment reference provides step-by-step instructions for deploying Informatica Data Engineering Quality on the Microsoft Azure Marketplace.

Deploy the Informatica® Data Engineering Quality Solution on the Microsoft Azure Marketplace (10.5.1)

The automated marketplace solution uses Azure Resource Manager to launch, configure, and run the Azure virtual machine, virtual network, and other services required to deploy a specific workload on Azure. This deployment reference provides step-by-step instructions for deploying Informatica Data Engineering Quality on the Microsoft Azure Marketplace.

Deploy the Informatica® Data Engineering Quality Solution on the Microsoft Azure Marketplace (10.5)

The automated marketplace solution uses Azure Resource Manager to launch, configure, and run the Azure virtual machine, virtual network, and other services required to deploy a specific workload on Azure. This deployment reference provides step-by-step instructions for deploying Informatica Data Engineering Quality on the Microsoft Azure Marketplace.

How to Migrate Mappings from the Hive Engine

Effective in version 10.2.2, Informatica dropped support for the Hive engine. You can run mappings on the Blaze and Spark engines in the Hadoop environment or on the Databricks Spark engine in the Databricks environment. This article tells how to change the validation and run-time environments for mappings, and it describes processing …

Additional Content

Common Content for Data Engineering 10.5.6
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