What is Change Data Capture (CDC)?

Live Playground to understand Change Data Capture (CDC) Playground

https://www.change-data-capture.com

Tips and Tricks for CDC ( Change Data Capture)

Use Time Stamps for Efficient Data Extraction:

Ensure your source tables have update and create time stamps. This allows you to efficiently track changes and extract only the modified rows.

Leverage Change Logs:

Utilize the change logs maintained by your RDBMS to capture detailed audit trails of data modifications. This can help in identifying changes more accurately.

Optimize Performance with Incremental Extraction:

Implement source-based CDC to improve performance by extracting only the changed rows, rather than the entire dataset.

Set Up Proper Indexing:

Ensure that your tables are properly indexed on the columns used for CDC. This can significantly speed up the data extraction process.

Use SAP Operational Data Provisioning (ODP):

For integration with Azure Data Factory, use the SAP ODP framework to replicate delta changes efficiently.

Monitor and Tune CDC Processes:

Regularly monitor the performance of your CDC processes and tune them as necessary to ensure optimal performance.

Benefits of SAP HANA CDC

Improved Performance:

By capturing only the changes, CDC reduces the amount of data that needs to be processed, leading to faster data integration and reduced load on the source systems.

Real-Time Data Integration:

CDC enables near real-time data integration, ensuring that your data warehouse or analytics systems are always up-to-date with the latest changes.

Reduced Data Latency:

With CDC, data latency is minimized as changes are captured and propagated almost immediately, which is crucial for real-time analytics and reporting.

Cost Efficiency:

By processing only the changed data, CDC reduces the computational and storage costs associated with full data loads.

Enhanced Data Accuracy:

CDC ensures that only the most recent and relevant data is captured, improving the accuracy and reliability of your data.

Implementing these tips and leveraging the benefits of CDC can significantly enhance your data management and integration processes in your database like SAP HANA. If you have any specific questions or need further details, feel free to ask!

Overview and architecture of the SAP CDC capabilities – Azure Data Factory | Microsoft Learn

Learning Journey – Using Source-Based Changed Data Capture (CDC)

Learning Journey – Using Target-Based Changed Data Capture (CDC)

​  What is Change Data Capture (CDC)?Change Data Capture (CDC) is a design pattern that tracks changes (inserts, updates, deletes) in a database and makes those changes available to downstream systems in real-time or near-real-time.How CDC WorksDetects row-level changes in source databasesProcesses these changes into structured eventsDelivers them to data warehouses, streams, or servicesBest way to think of CDC (Change Data Capture) on your data coming from Source to TargetLive Playground to understand Change Data Capture (CDC) Playgroundhttps://www.change-data-capture.comTips and Tricks for CDC ( Change Data Capture)Use Time Stamps for Efficient Data Extraction:Ensure your source tables have update and create time stamps. This allows you to efficiently track changes and extract only the modified rows.Leverage Change Logs:Utilize the change logs maintained by your RDBMS to capture detailed audit trails of data modifications. This can help in identifying changes more accurately.Optimize Performance with Incremental Extraction:Implement source-based CDC to improve performance by extracting only the changed rows, rather than the entire dataset.Set Up Proper Indexing:Ensure that your tables are properly indexed on the columns used for CDC. This can significantly speed up the data extraction process.Use SAP Operational Data Provisioning (ODP):For integration with Azure Data Factory, use the SAP ODP framework to replicate delta changes efficiently.Monitor and Tune CDC Processes:Regularly monitor the performance of your CDC processes and tune them as necessary to ensure optimal performance.Benefits of SAP HANA CDCImproved Performance:By capturing only the changes, CDC reduces the amount of data that needs to be processed, leading to faster data integration and reduced load on the source systems.Real-Time Data Integration:CDC enables near real-time data integration, ensuring that your data warehouse or analytics systems are always up-to-date with the latest changes.Reduced Data Latency:With CDC, data latency is minimized as changes are captured and propagated almost immediately, which is crucial for real-time analytics and reporting.Cost Efficiency:By processing only the changed data, CDC reduces the computational and storage costs associated with full data loads.Enhanced Data Accuracy:CDC ensures that only the most recent and relevant data is captured, improving the accuracy and reliability of your data.Implementing these tips and leveraging the benefits of CDC can significantly enhance your data management and integration processes in your database like SAP HANA. If you have any specific questions or need further details, feel free to ask!Overview and architecture of the SAP CDC capabilities – Azure Data Factory | Microsoft LearnLearning Journey – Using Source-Based Changed Data Capture (CDC)Learning Journey – Using Target-Based Changed Data Capture (CDC)   Read More Technology Blogs by SAP articles 

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