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Read the Informatica Content Guide to learn about the prebuilt data quality rules and reference data that you can download and install in the Informatica domain. Informatica releases prebuilt rules in accelerator packages for countries, regions, and business sectors. Reference data includes address reference data files and identity population files.
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 …