- Cloud Data Integration Current Version
- All Products
Read What's New to learn about new features, enhancements, and behavior changes in Informatica Intelligent Cloud Services℠ Data Integration for the September 2022 release. You can also learn about upgrade steps that you might need to perform.
Read the Data Integration Release Notes to learn about known limitations and third-party limitations for Data Integration. For limitations regarding a connector, see the connector release notes. For information about new features and enhancements, see What's New.
Read Introduction to learn about the tasks you can perform using Informatica Intelligent Cloud Services℠ Data Integration.
Refer to Getting Started for information about how to begin using Informatica Cloud® Data Integration. Getting Started explains how to configure a runtime environment, connect Data Integration to your system, and begin a project.
Use Asset Management to learn how to manage Data Integration projects, folders, and assets. Learn how to configure asset permissions, manage asset versions, and tag, migrate, and bundle assets.
Use Mappings to learn how to create and use mappings in Informatica Cloud® Data Integration to define the flow of data from sources to targets. Mappings also contains information about finding and using objects in your data catalog and information about creating and using parameters.
Refer to Transformations for information about the transformations that you can include in mappings and mapplets. Learn how to transform your data when you move it from source to target.
Use Components to learn about reusable assets that you can create in Data Integration. Learn how to create components and add them to transformations, mappings, and tasks.
Use Taskflows to learn how to set up dynamic and linear taskflows to run Data Integration tasks in a specific order at the designated time.
Use Data Integration Connections to learn how to configure connections between Data Integration and cloud and on-premises applications, platforms, databases, and flat files. Refer to Data Integration Connections for information about the connection properties for all connectors that can be used with Data Integration.
Refer to the Function Reference for information about the transformation language used to write functions to transform data with Data Integration. Learn how to use functions, operators, and constants to write simple or complex transformation expressions.
Refer to Troubleshooting for information about troubleshooting errors in Informatica Cloud® Data Integration.
Refer to the REST API Reference to learn how you can use the Informatica Intelligent Cloud Services℠ REST API to interact with your Informatica Intelligent Cloud Services organization.
Use this Quick Start Guide to get started with Data Integration.
Use this quick reference to find the information you need about Data Integration Elastic. This article contains links to information about environment setup, creating mappings, running jobs, and monitoring.
This article explains how to get started with installing a Secure Agent, creating an elastic mapping, and running an elastic job. Follow the instructions in this quick start to run your first job on an elastic cluster.
This article explains the differences between deleting and unlinking an asset in an Informatica Intelligent Cloud Services organization that uses a GitHub source control repository. In a source-controlled organization, deleting an asset in Informatica Intelligent Cloud Services deletes the asset from both Informatica Intelligent Cloud Services …
You can manage versions of Informatica Intelligent Cloud Services assets using a cloud-based Git repository such as GitHub. In this article, we provide an example of how you can correct errors that were discovered in the production organization by reverting to previous asset versions in your Git repository.
The current Informatica Intelligent Cloud Services release offers many source control features such as checking in and checking out assets. You can check out and check in a single asset or multiple assets in one action. This article focuses on the check in and check out of single assets. Once an organization is set up for GitHub version …
This article describes how you can use a parameter set in a taskflow.
This article contains frequently asked questions and answers about Informatica Intelligent Cloud Services℠ for Snowflake Accelerator.
You can configure the Informatica Cloud Secure Agent to use proxy server on Windows and Linux machines. This article describes how to use an authenticated or unauthenticated proxy server to connect to the Internet. When you configure the proxy server, the Secure Agent connects to Informatica Intelligent Cloud Services through the proxy server.
A Secure Agent is a lightweight program that runs all tasks that you configure in Informatica Intelligent Cloud Services℠ and processes your company's data locally and securely. This article provides instructions for tuning the Secure Agent for optimal task performance in the Spring 2020 and later versions of Informatica Intelligent Cloud Services.
You can create a masking task to perform data subset and data masking operations in Data Integration. To run a masking task in Data Integration you must install a Secure Agent. This document outlines the minimum requirements for the Secure Agent machine to run masking tasks in Data Integration.