This article lists the Business Glossary user guides and how-to articles available for data stewards, administrators, and Glossary consumers.

In Informatica Developer, you can create a Web Service Consumer transformation that calls a web service from an Informatica Data Services mapping or an Informatica Data Quality mapping. This article describes the steps to create a Web Service Consumer transformation, configure the SOAP messages in the transformation, and connect the …

You can connect to an SAP HANA database by using ODBC. This article explains how to configure an OBDC connection for SAP HANA in PowerCenter, the Administrator tool, the Developer tool, and the Analyst tool.

When you run an enterprise discovery profile in Informatica Developer, you can discover column profile statistics, data domains, primary keys, and foreign keys in a large number of data sources. A large number of keys and relationships might be inferred. You can approve, reject, or reset the inferred data domains, primary keys, or …

You can configure an Oracle connection to connect to Oracle Database Cloud Service from Informatica® Developer or PowerCenter®. This article describes how to configure connectivity to Oracle Database Cloud Service.

You can use Oracle Connection Manager to connect to an Oracle database from Informatica® Developer. This article discusses the tasks that you must perform to configure connectivity to Oracle using Oracle Connection Manager from Informatica Developer.

To identify data quality issues in multiple data sources, you can create an enterprise discovery profile, or you can create a column profile on a logical data object. This article describes how to create and run a column profile on the logical data object in Informatica Developer to identify data quality issues, such as null values, inferred …

A parameter file is an .xml file that lists user-defined parameters and their assigned values. Parameter files provide the flexibility to change parameter values each time that you run a mapping or a workflow. Generate a parameter file based on a mapping or workflow using the Developer tool or the command line. Edit the contents of the file …

You can create an Informatica REST web service that returns data to a web service client in JSON or XML format. The article explains how to define a REST web service in the Developer tool. The REST web service runs a mapping that returns hierarchical data in JSON format to a web service client browser.

You can discover data on Hadoop by creating and running profiles on the data in Informatica Developer. Running a profile on any data source in the enterprise gives you a good understanding of the strengths and weaknesses of its data and metadata. A profile determines the characteristics of columns in a data source, such as value …

You can use Informatica Developer to read data from Lightweight Directory Access Protocol (LDAP) directory servers. You can create column profiles on the LDAP data sources and view the profile results to find the content, quality, and structure of the data sources. This article is written for database administrators and developers and …

You can add, edit, or delete filters in a profile. A filter determines the rows that the profile reads at run time. The profile does not process rows that do not meet the filter criteria. When you create a filter for a profile or scorecard, the profile or scorecard runs on the filtered data. This article describes how to create filters for a …

You can use Microsoft Excel to create glossary content for business glossaries. The Microsoft Excel file that contains the business glossary data must be in a format that the Analyst tool can import. This article describes how to generate a .xlsx file, edit the file in Microsoft Excel, and import the file to the Analyst tool.

When you analyze data in data sources, you might come across data that do not fall within an expected range of values or patterns, such as employee names that do not fall within an expected set of patterns or a Social Security Number that appears multiple times in an Employee database. To identify these anomalies, you can create a column …

In the Developer tool, you can develop a dynamic mapping that handles metadata changes in relational sources at run time. This article describes the steps to create a dynamic mapping for relational tables that can have metadata changes and to run the mapping with metadata changes. This article assumes that you are familiar with mapping and …

In the Developer tool, you can develop a dynamic mapping that reuses the same mapping logic for different sources and targets. This article describes the steps to create a dynamic mapping with a mapping logic that you can run against different sources and write to different targets. This article assumes that you are familiar with mappings …

Informatica supports the migration of mappings, mapplets, and logical data object models created in Informatica Developer to PowerCenter. This article explains how you can migrate objects from a Model repository to a PowerCenter repository. The article also outlines guidelines and restrictions to consider, and notes changes to objects that …

When you run a profile or scorecard, the profile and scorecard results are saved in the profiling warehouse. You can delete these results from the profiling warehouse. This article discusses how to purge the profile results and scorecard results from the profiling warehouse.

You can run a mapping that reads NVARCHAR and NCHAR data from SAP tables with a JDBC connection. Before you can run the mapping, you must configure properties for the Data Integration Service that runs the mapping in Informatica Administrator and configure properties for Informatica Developer (the Developer tool) in the developerCore.ini …

Informatica provides database views that you can use to open profile results in third-party reporting tools. This article describes how to configure the database views for the profile statistics you want to read.

This article describes how a Glossary administrator or data steward can replicate a glossary in an Informatica domain.

When you run a profile on JSON and XML data sources, Informatica Developer treats the files as flat files. This article describes how you can create column profiles on flat file data sources that are in JSON or XML format, and view the profile results for data analysis and development.

You might need to perform discovery tasks on a relational data source with wide tables or flat files with a huge number of columns. To optimize the profile run on wide tables, you can configure some of the Data Integration Service parameters specific to Profiling Service Module. You can run a column profile on the relational source. Column …

Informatica Blaze engine is an Informatica proprietary engine for distributed processing on Hadoop. You can run profiles and scorecards on the Blaze engine. This article discusses how you can use the Blaze engine to run profiles and scorecards in Informatica Developer and Informatica Analyst.

You can choose to run a profile on all the rows in a data object, first N number of rows, or a random sample of data in the data object. This article discusses the random sampling options in profiling and how to use the options based on your requirement.

You can run SQL queries against a relational database midstream in a mapping. This article describes how to configure an SQL transformation in a logical data object mapping in the Developer tool.

This article provides best practices for migrating, configuring, and using Business Glossary.

The Data Integration Service runs concurrent web service requests according to the properties that you configure on the Data Integration Service and the application properties that you configure for each web service object. When you optimize the properties that affect web service concurrency, you can improve performance.

To improve Developer tool mapping performance, use best practices when you configure mappings and apply relational pushdown optimization. Relational pushdown optimization causes the Data Integration Service to push transformation logic to a database. Pushdown optimization improves mapping performance as the source database can process …

The Informatica domain consists of one or more servers, one or more installations of the Informatica software, and at least one relational database. This article is a discussion of how nodes work with the database, communications between nodes, what happens when a node dies, and basic troubleshooting on your domain.

Regulatory reporting might require you to consolidate information available in multiple Model repository views and profiling warehouse views. You can join the views based on your requirements using key columns of the views. You can run a join query on the views to retrieve the required information from the Model and profiling warehouse repositories.

Informatica supports the migration of mappings and mapplets created with the PowerCenter Client to a Model repository. This article explains how you can import objects from a PowerCenter repository into a Model repository. The article also outlines guidelines and restrictions to consider, and notes changes to objects that might occur during migration.

The system resource guidelines for profiling and discovery include resource recommendations for the Profiling Service Module, the Data Integration Service, profiling warehouse, and hardware settings for different profile types. This article describes the system resource and performance tuning guidelines for profiling and discovery.

When you use groups and roles to organize Informatica access control, you simplify user management and create a more secure environment. This article describes how to identify groups and roles and examines the benefits of using groups and roles.

To use the SSL protocol for a secure connection to the Administrator tool, create a keystore file and configure an HTTPS port for each gateway node in the domain. The keystore file can include a self-signed certificate or a certificate signed by a certificate authority. This article describes how to create and use a certificate signed by a …

Kerberos is a network authentication protocol that provides strong authentication between users and services in a network. This article explains how you can configure clients and services within an Informatica domain to use Kerberos authentication.

When you enable secure communication for the Informatica domain, you secure the connection between services and between the services and the service managers. For better security, you can provide a custom SSL key and certificate. This article describes how to create keystore and truststore files in PEM and JKS formats with a custom SSL …

Lightweight Directory Access Protocol (LDAP) is a software protocol for accessing users and resources on a network. You can configure an Informatica domain to use LDAP to authenticate Informatica application client users.

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.

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 Informatica installer.

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

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

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

You can deploy Data Quality on the Amazon Web Services (AWS) U.S. Intelligence Community Marketplace. This deployment reference includes step-by-step instructions for deploying Data 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 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 specific workload on AWS.

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 Quality 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 Quality on the Microsoft Azure Marketplace.

The automated marketplace solution uses Google Cloud Platform templates to launch, configure, and run the Google Cloud compute, network, storage, and other services required to deploy a specific workload on Google Cloud. This deployment reference provides step-by-step instructions for deploying Informatica Data Quality on Google Cloud …

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

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

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

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 Quality 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 Quality 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 Quality on the Microsoft Azure Marketplace.

Domain and application services ports can either be static ports or dynamic ports. The Informatica domain and domain components are assigned to static ports. Certain application services are also assigned to static ports while others run on dynamic ports.

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.

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.

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.

Informatica Deployment Manager provides a quick and easy way to install and manage the Informatica domain. This article describes how to install Data Quality on Kubernetes from the Docker image using Informatica Deployment Manager. This article also describes how you can use Informatica Deployment Manager to manage an existing Data Quality …

Informatica Deployment Manager provides a quick and easy way to install and manage the Informatica domain. This article describes how to install Data Quality on Kubernetes from the Docker image using Informatica Deployment Manager. This article also describes how you can use Informatica Deployment Manager to manage an existing Data Quality …