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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 …
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 …
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 …
The Informatica Content Guide is written for Informatica users who are responsible for installing prebuilt data quality mapplets and reference data to Informatica products.
The Informatica Data Quality Accelerator Guide is written for Informatica developers who import and use accelerators. Accelerators are content bundles that address common data quality problems in a country, a region, or an industry. The guide assumes that you have an understanding of data quality concepts such as standardization, parsing, …
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.
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.
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
The Informatica Business Glossary Desktop Installation and Configuration Guide is written for administrators who install the Business Glossary Desktop.
Additional Content
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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 …
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 …
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.
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 …