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In the context of deploying updates to data pipelines in a production environment, which practices are essential for maintaining reliability and ensuring seamless updates? Consider factors such as automation, testing, and the ability to quickly revert changes if necessary. Choose the two most effective practices from the options provided.
A
Implementing manual review processes for all changes
B
Utilizing larger datasets for processing to test pipeline robustness
C
Disabling logging to reduce overhead during updates
D
Adopting continuous integration and continuous deployment (CI/CD) practices
E
Reducing the number of pipeline nodes to simplify the architecture