Real-time integration through Changed Data Capture (CDC) and Journalizing Knowledge Modules (JKMs) is a powerful technique to capture and propagate data changes from source systems to target systems in near real-time. Here’s an overview of how CDC and JKMs can be used for real-time integration:
- Understanding Changed Data Capture (CDC):
- CDC is a technology that identifies and captures data changes (inserts, updates, deletes) that occur in source systems.
- It tracks changes at the database level by leveraging database logs or triggers to capture the modifications made to specific tables.
- Utilizing Journalizing Knowledge Modules (JKMs):
- JKMs are pre-built components in Oracle Data Integrator (ODI) that facilitate CDC-based real-time integration.
- They provide the necessary configurations and code to perform CDC operations and capture data changes from source databases.
- Configuring CDC in ODI:
- Define the source and target connections in ODI, representing the source database and the target system where the changes will be propagated.
- Set up a CDC context in ODI to specify the CDC mode, which determines how data changes are captured and processed.
- Configure the CDC details, such as the source tables to track, the columns to consider for change detection, and the CDC strategy (log-based or trigger-based).
- Implementing JKMs for CDC:
- Choose the appropriate CDC JKM provided by ODI based on your source database type (e.g., Oracle, SQL Server, MySQL).
- Associate the JKM with your ODI project and the specific CDC context.
- Customize the JKM parameters, such as the CDC journal table, journalizing filters, and other CDC-specific settings.
- Creating CDC Interfaces:
- Design and create CDC interfaces in ODI to extract the changed data from the source database and load it into the target system.
- Use the CDC context and associated JKM during interface creation to enable CDC functionality.
- Map the source and target tables, considering the changed data and the appropriate transformation logic.
- Scheduling and Executing CDC Processes:
- Schedule the CDC processes to run at regular intervals or in near real-time, depending on the desired latency of data propagation.
- Execute the CDC interfaces to perform the extraction and loading of changed data.
- Monitor the CDC processes using ODI’s Operator component to track their execution status and handle any errors or issues.
By leveraging CDC and JKMs in Oracle Data Integrator, you can achieve real-time data integration by capturing and propagating data changes efficiently. Ensure that the source databases are configured to support CDC (e.g., database logs enabled) and refer to ODI’s documentation and resources for detailed guidance on setting up CDC and utilizing JKMs for real-time integration.
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