Integrating the IBM i, known for its secure and reliable architecture, with other platforms using CDC offers several advantages and solutions for businesses. CDC detects and captures changes made to data in a database, such as inserts, updates, and deletes, and replicates these changes to other systems. By continuously monitoring and recording these changes, CDC based tools ensure that other systems have the most up-to-date data without the need for major data transfers or periodic full data refreshes.
How CDC Works with the IBM i
The IBM i acts as the primary data center for many important business applications. Implementing CDC on the IBM i involves:
Monitoring
CDC tools or built-in capabilities monitor changes in the database. This can be done using database logs, triggers, or a combination of both.
Capturing
Once changes are detected, they are captured in a change table or log.
Processing
Captured changes are processed and transformed if necessary. This may involve filtering or formatting the data.
Delivering
Processed changes are then delivered to target systems, which could be other databases, data warehouses, or cloud-based applications.
How CDC Works with the IBM i
Real-Time Data Integration
CDC allows for near-real-time data integration, ensuring that data across systems is always current. This is critical for applications that rely on timely and accurate data, such as analytics, reporting, bi-directional data sync, and customer relationship management (CRM) systems.
Minimized System Load
By capturing only the changes rather than performing full data extracts, CDC reduces the load on the IBM i system. This makes sure that the system’s performance isn’t slowed down by the data integration processes.
Enhanced Data Consistency
ICDC allows for data consistency across various systems. Any changes made in the IBM i system are quickly updated in other connected systems, which helps avoid data errors and keeps the data accurate.
Calability and Flexibility
CDC solutions can manage large amounts of data and work with different types of systems, like cloud services, data setups, and regular on-prem databases.
Use Cases for CDC in IBM i Integrations
Real-Time Analytics and Reporting
Organizations can use CDC to feed data from IBM i systems into analytics platforms or data warehouses in real time, enabling up-to-date reporting and analytics without straining the source system.
Data Synchronization
Businesses often run multiple systems that need to stay in sync. CDC ensures that any changes in the IBM i database are replicated to other systems, such as ERP, CRM, or other operational databases.
Cloud Migrations
As companies migrate to cloud environments, CDC can facilitate the transition by continuously capturing changes in the IBM i system and replicating them to cloud databases, ensuring that data remains consistent during the migration process.
Disaster Recovery and High Availability
CDC can be used to replicate data to a backup system in real time. In the event of a failure, the backup system can quickly take over, minimizing downtime and data loss.
ETL Processes
Traditional ETL (Extract, Transform, Load) processes can be enhanced with CDC by extracting the changes instead of the entire dataset. This makes the ETL process more efficient and reduces the time required to update target systems.
Implementing CDC with IBM i
Exploring CDC options for the IBM i? Don’t hesitate to get in touch with us! Our team is here to guide you through the process and help find the best solution.
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