You built an analytical loop based on the CQRS pattern. Tell the details: what kind of loop, for what purpose?

CQRS (Command Query Responsibility Segregation) is a pattern that separates operations that change state (commands) from read operations (queries) into different models. An analytical pipeline based on CQRS is usually built to improve system performance and scalability, as well as to simplify analytics.

In such a pipeline, commands (writes) are processed separately and update the main state, while a separate read model is created for analytics, optimized for complex queries and aggregations. This allows the main transactional database to be free from analytical queries.

Example: in an order system, commands create and modify orders, while the analytical pipeline collects aggregates (e.g., sales by region) in a separate database, updated through events.

Thus, the analytical pipeline is a separate data processing stream that receives events or updates from the main system and forms representations that are convenient for analysis.