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Informatica Training in India | Best Informatica Cloud

Join VisualPathu2019s Informatica Training in India and master data integration with real-time projects. Our Informatica Cloud Training offers expert-led sessions, flexible schedules, and hands-on practice. Learn from anywhere with recorded classes and industry-relevant training. Contact us at 91-9989971070 to start your Informatica journey today.<br>WhatsApp: https://wa.me/c/917032290546 <br>Visit Blog: https://visualpathblogs.com/category/informatica-cloud/ <br>Visit: https://www.visualpath.in/informatica-cloud-training-in-hyderabad.html <br>

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Informatica Training in India | Best Informatica Cloud

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  1. Subtitle:A Comprehensive Overview Cloud Data Integration (CDI) in Informatica IICS

  2. Introduction to Cloud Data Integration (CDI) • Definition: CDI in Informatica IICS enables seamless data movement, transformation, and integration across cloud and on-premises systems. • Purpose: Helps businesses connect data sources efficiently for analytics and business intelligence. • Why It Matters: Essential for modern cloud-driven architectures.

  3. Key Features of Informatica CDI • Cloud-Native: Designed for cloud scalability and flexibility. • Low-Code Interface: Simplifies integration with drag-and-drop tools. • AI-Driven Automation: Uses AI for intelligent mapping and data processing. • Prebuilt Connectors: Supports AWS, Azure, Google Cloud, and on-prem databases. • Real-Time & Batch Processing: Handles both streaming and batch data loads.

  4. How CDI Works in Informatica IICS • Extract: Collects data from diverse sources. • Load: Moves data to cloud or on-prem destinations. • Transform: Cleanses, enriches, and structures data for analysis. • Monitor: Provides real-time tracking and automation.

  5. Benefits of Using CDI • Faster Data Integration – Automates workflows, reducing manual effort. • Cost-Effective – Lowers infrastructure costs with cloud deployment. • Improved Data Quality – Ensures accurate, standardized data. • Enhanced Security & Compliance – Supports governance and data privacy. • Scalability – Grows with business demands.

  6. Common Use Cases • Cloud Data Migration – Moving data from legacy systems to the cloud. • Multi-Cloud Integration – Connecting different cloud platforms. • Big Data Processing – Handling large-scale datasets efficiently. • Self-Service Data Integration – Enabling non-technical users to integrate data easily.

  7. CDI in Azure Ecosystem • Integrates with Azure Data Factory, Synapse, and Data Lake. • Supports real-time and batch processing for Azure data services. • Ensures data governance with Azure Purview.

  8. CDI vs. Traditional ETL

  9. Conclusion & Next Steps • CDI in Informatica IICS is a powerful tool for cloud-based data integration. • Delivers automation, scalability, and efficiency for modern businesses. • Next Steps: Explore CDI through hands-on practice or Proof of Concept (POC).

  10. Thank You www.visualpath.in

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