
Start Exploring - Informatica
Agentforce is live! Get instant, AI-driven answers sourced directly from our support portal - Informatica Network
Enterprise Data Catalog - Informatica
Dec 10, 2025 · Informatica Enterprise Data Catalog provides a machine-learning-based discovery engine to collect data assets across the enterprise while increasing the understanding of those data …
Practice exercises for PowerCenter - Informatica
Practice exercises for PowerCenter ? Hi I am a beginner in Informatica PowerCenter trying to learn PowerCenter on my own, started few days ago. I am very good at Java , SQL the general IT stuff. …
Informatica 10.6
Feb 21, 2025 · Informatica 10.6 Have you any news on when Informatica Platform 10.6 will be available? What is the support end date for Informatica 10.5.x?
Informatica Platform
Dec 10, 2015 · The Informatica Platform delivers data at scale for all users and use cases. The platform collects data from even the most fragmented sources across complex hybrid enterprises.
Topic Catalog - Informatica
Powered by Informatica’s unique metadata services engine, Enterprise Data Catalog enables business analysts and data stewards to find all types of data across the enterprise; discover relationships …
Master Data Management SaaS - Informatica
Nov 26, 2025 · Master Data Management SaaS provides visibility into all your business-critical data, including customer, product, supplier, and reference data, for a trusted 360 view of your business.
Get Started - Informatica
Get Started Informatica Community lets you connect, collaborate, and grow with fellow Informaticans across the globe. The community will provide you with rich repository of resources to help you …
Informatica PowerCenter 10.4 Support Ends on March 31, 2024
Mar 31, 2024 · For guidance, resources, offers and more to help you move to the cloud now, click here.
Cloud Data Integration - Informatica
Dec 29, 2025 · Cloud Data Integration connects source and target data with thousands of metadata-aware connectors and run large-scale integrations with Spark processing in a serverless environment.