May 1, 2024
4 minute read
Change Data Capture (CDC) is a set of technologies that enables the tracking and capturing of changes to data in databases or data sources. It allows for the identification and extraction of changes (such as inserts, updates, or deletions) made to data over time, enabling businesses and organizations to respond promptly to data modifications and maintain up-to-date information.
Why Learn Change Data Capture?
There are several reasons why learners and students may be interested in learning about Change Data Capture:
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Find a path to becoming a Change Data Capture. Learn more at:
OpenCourser.com/topic/4b88tt/change
Reading list
We've selected five books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Change Data Capture.
Detailed description of how to use CDC in SQL Server. It may be too verbose for someone just trying to get started with CDC.
Is an overview of the inner workings of databases and storage engines. Change data capture implementations typically run in the context of a database or storage engine, and having an understanding of these concepts can help someone debugging issues, writing more efficient queries, and having a deeper understanding of the technology.
Is an introduction to data pipelines. As noted above, CDC is typically part of the data pipeline as it captures data that is then used for downstream processing.
Is about best practices in event-driven architectures. CDC technology that can be used in event-driven architectures.
Is used by many data warehouse designers. Change data capture technology used to load data into data warehouses.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/4b88tt/change