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You can use Data Archive to archive data from custom applications to the Informatica Data Vault. This article explains how to create and define entities for archiving. It also explains how to configure and schedule the archive project.
You can use on-premise Data Archive to retire an application to the Informatica Data Vault. This article describes the steps to import metadata, create entities, and create and schedule a retirement project.
The ILM Products Release Guide is written for administrators who are responsible for installing and configuring ILM products and developers and software engineers who implement ILM products. The ILM Products Release Guide lists new features and enhancements, behavior changes between versions, and tasks you might need to perform after …
This document contains important information about installation, fixed limitations, and known limitations for ILM Data Archive.
The Informatica Data Archive How-To Guide includes articles from the Informatica How-To Library. These articles assume you have knowledge of your operating systems, relational database concepts, and the database engines, flat files, or mainframe systems in your environment.
The Informatica Data Archive Enterprise Data Manager is written for Database Administrators (DBA) that perform key tasks involving data backup, restore, and retrieval using the Informatica Data Archive user interface. This guide assumes you have knowledge of your operating systems, relational database concepts, and the database engines, …
The Informatica Data Archive User Guide is written for the Database Administrator (DBA) that performs key tasks involving data backup, restore, and retrieval using the Informatica Data Archive user interface. This guide assumes you have knowledge of your operating systems, relational database concepts, and the database engines, flat files, …
The Informatica Data Archive Administrator Guide is written for system administrators who are responsible for configuring and setting up Data Archive. This guide assumes you have knowledge of your operating systems, relational database concepts, and the database engines, flat files, or mainframe systems in your environment.
The Data Vault Administrator Guide provides information about how to configure and manage the Data Vault in Data Archive. The Administrator Guide is written for system administrators who are responsible for setting up and administering Data Archive and performing archive tasks. This guide assumes that you have knowledge of relational …
The Informatica Application Retirement for Healthcare Accelerator Reference is written for system administrators who are responsible for configuring and setting up the application retirement for healthcare accelerator. This guide is also written for users who run patient reports through the patient archive. This guide assumes you have …
The Data Vault SQL Reference provides information about the SQL commands that can be used to access the Data Vault in Data Archive. The SQL Reference is written for users who use query tools or reporting tools to access data in an optimized archive. This guide assumes that you have knowledge of SQL and relational database concepts, and …
The Informatica Data Archive Amdocs Accelerator Reference is written for database administrators who use Informatica Data Archive to perform administrative tasks such as data backup, restoration, and retrieval. This guide assumes you have knowledge of your operating systems, relational database concepts, and the database engines, flat …
The Informatica Data Archive JD Edwards Enterprise 8.12 Accelerator Reference is written for database administrators who use Informatica Data Archive to perform administrative tasks such as data backup, restoration, and retrieval. This guide assumes you have knowledge of your operating systems, relational database concepts, and the …
The Informatica Data Archive Oracle E-Business Suite Accelerator Reference is written for database administrators who use Informatica Data Archive to perform administrative tasks such as data backup, restoration, and retrieval. This guide assumes you have knowledge of your operating systems, relational database concepts, and the database …
The Informatica Data Archive PeopleSoft Enterprise Accelerator Reference is written for the system administrators who are responsible for performing key tasks involving data backup, restore and retrieval using the Informatica Data Archive User Interface (UI). This guide assumes you have knowledge of your operating systems, relational …
The Data Archive Siebel Applications Accelerator Reference is written for Database Administrators (DBAs) that perform key tasks involving data backup, restore and retrieval using the Informatica Data Archive User Interface (UI). This guide assumes you have knowledge of your operating systems, relational database concepts, and the database …
This document describes the internals of the steps involved during Archive and Retirement jobs scheduled in the Data Security Group (DSG) Data Archive Service. The document considers the source and target databases as Oracle databases in the description of Online Archive jobs.
Informatica Data Vault (IDV) is a compressed read-only database that stores inactive data. This article describes the steps to use Microsoft Excel to read data from Data Vault.
Data in flat files must be mapped to a datatype before it can be retired. You can use PowerExchange to create data maps that specify the datatypes for data in flat files. After you create a data map, you can validate and correct the data before you retire it.
You can use PowerExchange ODBC connections to connect to z/OS data sources in an Informatica Data Archive retirement project. This article describes the procedures for using PowerExchange ODBC connections in an archive retirement project.
You can use Data Archive to archive your data to cloud storage. This article describes some best practices to follow when you archive data to different cloud storage types.
This article presents an example of a system configuration for Data Archive and the Data Vault designed for high availability.