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When to Use CDC?

Published in Data Integration 3 mins read

Change Data Capture (CDC) is beneficial when you need to track and respond to data changes in real-time or near real-time, offering several strategic advantages in data integration.

Here's a breakdown of common scenarios where CDC shines:

  • Real-time Data Warehousing and Data Lakes:

    • Benefit: CDC allows you to incrementally load changes into your data warehouse or data lake without requiring full table scans. This drastically reduces load times and resources.
    • Example: As customer order details change in your transactional database, CDC ensures those changes are reflected in your data warehouse for immediate analysis and reporting.
  • Operational Data Stores (ODS):

    • Benefit: Create a near real-time, integrated view of your operational data. An ODS provides a single source of truth for operational reporting and decision-making.
    • Example: Aggregate customer information from multiple source systems into an ODS using CDC. This ensures that customer service representatives have access to the latest customer data.
  • Data Replication:

    • Benefit: Replicate data from one database to another in real-time, useful for disaster recovery, high availability, or migrating to a new database platform.
    • Example: Mirror your production database to a standby database using CDC, minimizing downtime in case of a failure.
  • Microservices and Event-Driven Architectures:

    • Benefit: CDC can publish data changes as events, allowing microservices to react to changes in other services.
    • Example: When a customer's address is updated in the customer service system, CDC publishes an event that triggers an update in the shipping system.
  • Auditing and Compliance:

    • Benefit: Track all data changes for auditing purposes, helping you meet compliance requirements.
    • Example: CDC captures all changes to sensitive data, allowing you to track who changed what and when.
  • Cache Invalidation:

    • Benefit: Automatically invalidate cached data when the underlying data changes, ensuring that applications always have access to the latest information.
  • Modern Data Fabric Architectures:

    • Benefit: CDC enables the near real-time data integration and synchronization that's often a core requirement of modern data fabric designs. It helps create a unified and consistent view of data across the organization.

In summary, use CDC when you need to efficiently capture and propagate data changes for real-time analytics, integration, replication, or compliance needs. It's a powerful tool for building modern, responsive data architectures.

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