Data Integration | Current Version

What's New

Read What's New to learn about new features, enhancements, and behavior changes in Informatica Intelligent Cloud Services℠ Data Integration for the August 2023 release. You can also learn about upgrade steps that you might need to perform.

Release Notes

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.

Getting Started

Introduction

Read Introduction to learn about the tasks you can perform using Informatica Intelligent Cloud Services℠ Data Integration.

Getting Started

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.

Help for Users

Asset Management

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.

Mappings

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.

Transformations

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.

Components

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.

Tasks

Use Tasks to learn how to set up and run Data Integration tasks manually or on a schedule.

Taskflows

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.

Reference Material

Data Integration Connections

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.

Function Reference

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.

Troubleshooting

Refer to Troubleshooting for information about troubleshooting errors in Informatica Cloud® Data Integration.

REST API Reference

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.

Glossary

Refer to the Glossary to understand common Data Integration terms.

What's New in Cloud Data Integration - July 2023

Learn about some of the new features and enhancements in the July 2023 release of Informatica Cloud Data Integration.

Consuming a Machine Learning Model

Learn how the Machine Learning transformation uses a REST API to run a machine learning model and return predictions to an elastic mapping.

Copying Mappings to Advanced Mode

Learn how to quickly copy mappings to advanced mode.

Creating a Dynamic Mapping Task

Learn how to create and run a dynamic mapping task.

Debugging Mapping Errors

Learn how to use Data Preview to troubleshoot errors in mappings and target data.

Modifying the Schema of Hierarchical Data in an Elastic Mapping

Learn how to use the Hierarchy Processor transformation to modify the schema of hierarchical data in an elastic mapping.

Optimizing Mapping Performance

Learn how to optimize elastic mapping performance with CLAIRE tuning. CLAIRE tuning uses artificial intelligence to optimize Spark engine performance and reduce the time it takes to perform mapping tasks.

Recovering PowerCenter Workflows and Cloud Data Integration Taskflows

Learn how to configure recovery for PowerCenter workflows and Cloud Data Integration taskflows.

Setting Up a Local Cluster to Run Mappings in Advanced Mode

Learn how to set up a local cluster on an existing Secure Agent machine to run mappings in advanced mode.

Setting Up a Self-Service Cluster on Amazon EKS

Learn how to set up a self-service cluster on Amazon EKS with Informatica Cloud Data Integration.

Starting Taskflow Jobs with the RunAJob Utility and a 3rd-Party Scheduler

Learn how a third-party scheduler can use Informatica’s RunAJob utility to start a taskflow job.

Versioning Objects in PowerCenter and Cloud Data Integration

Learn about the differences in object versioning between PowerCenter and Cloud Data Integration.

Introducing Cloud Data Integration

View a quick introduction to Cloud Data Integration.

Cloud Data Integration Quick Start Guide

Use this Quick Start Guide to get started with Data Integration.

Data Integration Elastic Quick Reference

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.

Data Integration Elastic Quick Start

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.

Delete Versus Unlink in a Source-Controlled Organization

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 …

Roll back source-controlled assets to previous versions

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.

Roll back source-controlled assets to previous versions

Single Asset Check In and Check Out in a Source-Controlled Organization

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 …

Configure

How to Configure a Parameter Set in a Taskflow

This article describes how you can use a parameter set in a taskflow.

How to create profiles to run AWS commands using taskflow command tasks in a serverless runtime environment

This article describes how to create and use profiles to run AWS commands using taskflow command tasks in a serverless runtime environment.

Informatica Intelligent Cloud Services for Snowflake Accelerator - Frequently Asked Questions

This article contains frequently asked questions and answers about Informatica Intelligent Cloud Services℠ for Snowflake Accelerator.

Informatica Intelligent Cloud Services for Snowflake Accelerator - Frequently Asked Questions

This article contains frequently asked questions and answers about Informatica Intelligent Cloud Services℠ for Snowflake Accelerator.

Migrating a connector from previous versions using the Data Integration REST API

This article describes how to use the Informatica REST API to migrate an old version of the Cloud Data Integration connector to the current version and retain the referenced assets after the migration.

Proxy server configuration for the Secure Agent

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.

Optimize and Tune

Secure Agent Best Practices and Tuning Guidelines

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.

Install and Upgrade

Secure Agent Machine Requirements for Masking Tasks on 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.

Download Documentation Set

Send Feedback

How to Download and Install a Secure Agent

Configuring Source Control Repository Access

Parameters

Advanced Clusters

Monitor

Data Integration Performance Tuning

Resources

Cloud Data Integration Homepage

Free Trial

Communities