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
  • Data Engineering Quality 10.2.1
  • All Products

Getting Started

Getting Started Guide

The Data Quality Getting Started Guide is written for data quality developers and analysts. It provides tutorials to help first-time users learn how to use Informatica Developer and Informatica Analyst. This guide assumes that you have an understanding of data quality concepts, flat file and relational database concepts, and the database …

Help for Users

Address Validator Port Reference

The Address Validator Port Reference is written for Data Quality users who configure the Address Validator transformation to perform address parsing and validation tasks. The document describes the functionality and usage of each port and the types of information each port can contain. The Address Validator Port Reference lists the ports …

Rule Specification Guide

A rule specification represents the data requirements of a business rule in logical form. You define a rule specification in the Design workspace of Informatica Analyst. You generate one or more mapplets from the rule specification that you define. An Informatica Developer user can add the mapplets to a mapping and verify that a data set …

Help for Administrators

Big Data Management Administrator Guide

The Big Data Management™ Administrator Guide is written for Informatica administrators. The guide contains information that you need to administer the integration of the Informatica domain with the Hadoop cluster. It includes information about security, connections, and cluster configurations. This guide assumes that you are familiar with the …

Installation and Upgrade

Content Guide

The Informatica Content Installation Guide is written for Informatica users who are responsible for installing prebuilt rules and reference data to Informatica Data Quality or to PowerCenter®.

Accelerators

Accelerator Guide

The Informatica Data Quality Accelerator Guide is written for data quality developers. This guide assumes that you have an understanding of data quality concepts such as standardization, parsing, labeling, and validation.

Additional Guides

API Guide

The Informatica Business Glossary API Guide is written for developers who write client applications that need to access a business glossary. It contains information you need to include the business glossary in your client application. This guide assumes you have a working knowledge of application programming interfaces.

Big Data Management User Guide

The Informatica Big Data Management® User Guide provides information about configuring and running mappings in the native and Hadoop run-time environments.

Business Glossary Getting Started Guide

The Informatica Business Glossary Started Guide is written for data stewards, owners, stakeholders, and Glossary consumers who are responsible for creating and viewing Business Glossary content. It provides a tutorial to help first-time users learn how to use Informatica Business Glossary.

Business Glossary Guide

The Business Glossary Guide is written for administrators, data stewards, business owners, subject matter experts, business users, and business analysts who read and manage a business glossary. It contains information you need to look up content, create, and manage business glossaries and relate the information between glossary content. …

Desktop Guide

Desktop Guide

Developer Tool Guide

The Informatica Developer Tool Guide is written for big data, data services, and data quality developers. This guide describes common functionality in the Developer tool. This guide assumes that you have an understanding of flat file and relational database concepts, and the database engines in your environment.

Installation and Configuration Guide

The Informatica Business Glossary Desktop Installation and Configuration Guide is written for administrators who install the Business Glossary Desktop.

Profiling Getting Started Guide

The Informatica Profiling Getting Started Guide is written for data quality and data services developers and analysts. It provides a tutorial to help first-time users learn how to use Informatica Developer and Informatica Analyst. This guide assumes that you have an understanding of data quality concepts, flat file and relational database …

Reference Data Guide

The Informatica Reference Data Guide includes information about the reference data objects and files that you can use in Informatica Developer and Informatica Analyst. It is written for data analysts, data stewards, and others who use reference data to verify and enhance the accuracy and usability of organization data.

User Guide

The Informatica PowerExchange® for HBase User Guide provides information about extracting data from and loading data to HBase. The guide is written for database administrators and developers who are responsible for developing mappings that read data from HBase tables and write data to HBase tables. This guide assumes that you have …

Additional Content

Common Content for Data Engineering 10.2.1

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 10.2.1
Actions
Download Documentation Set
Send Feedback
Resources
Communities
Knowledge Base
Success Portal