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- Success Portal
- Learning Path
- DQ Modernization
- Key Concepts
Informatica Data Quality (IDQ) on-premises is installed within an organization to improve data quality via profiling, cleansing, matching, and monitoring. It integrates with enterprise systems using connectors and stores profiling data in a dedicated warehouse. While highly customizable and reliable, it lacks the advanced AI-driven features found in Informatica’s cloud versions, limiting insights and automation. Regular maintenance like backups and cache management is needed to keep it running smoothly.
Informatica Cloud Data Quality empowers your company to take a holistic approach to managing data quality to quickly identify, fix, and monitor data quality problems in your business applications. The solution transforms your data quality processes to be a collaborative effort between business users and IT. This creates a true data-driven environment that accelerates cloud benefits through faster migrations and gains more trusted insights from cloud data warehouses, data lakes, and SaaS applications.
Informatica Cloud Data Quality (CDQ) offers several benefits compared to traditional on-premises IDQ solutions. By leveraging cloud infrastructure and intelligent automation, CDQ simplifies data quality management while enhancing accessibility, scalability, and ease of maintenance. Below are the key advantages that make CDQ a preferred choice for many organizations moving toward modern, cloud-first strategies:
- Robustness and Reliability: CDQ offers a highly reliable service compared to traditional on-premises setups.
- Lower Maintenance: Ideal for organizations lacking strong IT teams, as it eliminates the need to maintain full server infrastructure.
- User-Friendly Interface: The cloud web interface is intuitive and responsive, enabling multitasking and easy access without requiring VPN connections.
- Cloud-Hosted Informatica Suite: IDMC runs the full Informatica suite on cloud platforms like AWS, Azure or Google, combining familiar tools with cloud flexibility.
- Metadata Management: While data can reside and be processed on-premise, metadata repositories are managed securely by Informatica in the cloud.
- Performance Tuning: Runtime performance can be optimized independently within the admin interface without cloud server dependency.
- No Local Repository Needed: Cloud-hosted services manage repositories and connections, reducing setup complexity.
- Hybrid Integration: IDMC supports hybrid integrations across cloud-to-cloud, cloud-to-on-premise, and on-premise-to-on-premise environments.
- No Client Installation: All development and task management occur through browser-based interfaces, enabling faster development and reducing code loss risks compared to on-prem clients.
Note: While IDMC/CDQ may handle smaller data volumes compared to PowerCenter or traditional IDQ, it greatly simplifies maintenance and speeds up development, making it well-suited for many modern data quality needs.
Intelligent Data Management Cloud (IDMC) is an iPaaS-based application, accessible from any device with internet connectivity and a web browser. Data Quality features are available through the Data Quality and Profiling services, while Mappings are created and executed within the Data Integration service. The application includes multiple wizards that guide users through building and testing tasks. Additionally, jobs can be scheduled and monitored with ease. When a user accesses the application, the web browser securely connects to Informatica Cloud Services via HTTPS. Informatica Cloud Services hosts the IDMC repository, which stores detailed information about tasks.
Here's how a typical DQ Modernization project looks like:
- Initiate & Plan: Define project goals, scope, and team. Analyze your current IDQ environment and business needs.
- Design & Architect: Create a modernization plan focused on cloud deployment. Validate data and metadata. Design the target solution including integrations and customizations.
- Implement & Configure: Set up data quality components and migrate data, rules, and workflows to cloud platform.
- Test & Deploy: Verify data and metadata accuracy. Conduct system and user acceptance testing. Deploy the modernized solution and stabilize production.
Data Quality Assets are the reusable components and resources that support and streamline data quality management in IDMC. They include rules, dictionaries (reference data), cleansing and parsing logic and validation criteria designed to ensure data accuracy, consistency, and reliability across systems. These assets help organizations maintain high-quality data by automating quality checks, standardizing processes, and enabling faster deployment of data quality solutions.
You’re now equipped with the knowledge to transition your on-premise IDQ to Informatica Cloud Data Quality - an exciting step forward in your modernization journey! Reach out to your CSM (Customer Success Manager) or Account Manager to guide you through the next steps and ensure a smooth process.
Let’s make this transformation happen together!