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In 1988 Bertrand Meyer devised the CQS principle for object-oriented languages in the book Object-Oriented Software Construction. In simple words, the principle says that software should either modify the system (commands) or return values (queries) and you should maintain the command-query separation in your software.

As the name suggests, both sides are talking to a single database. Commands execute use-case in the domain which modifies the state of the entity. Then, the entity is saved into the database through ORM such as Entity Framework Core or Hibernate.

Once we have the current entity, commands can modify it. Modifications will generate a new event that we will store in the Event Store. Therefore, we push the current state of the entity into a Read Database so reading can stay to be extremely fast.

In the Event-sourcing approach, we are not storing only the current state of entities, but we are storing every state that happened to the entity as snapshots. Entities are not saved as normalized data, but as their direct modifications with the timestamp of an event.

With every state changed by the command, the modified data has to be pushed from Write Database into the Read Database either as a single coordinated transaction across both databases or using the Eventual Consistency Pattern.

In the Two-database approach, we have two dedicated databases, one for writing operations and one for reading operations. Commands side has Write Database optimized for writing operations. Query side has Read Database optimized for reading operations.

The commands side should be responsible and optimized for writing data. Commands are executing use-cases, changing the states of entities, and saving them into persistence.

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This architecture brings orders of magnitude improvements in performance on the queries side of the software and that is a good thing because the software users are generally spending more time with reading data than writing.

The queries side should be responsible and optimized for reading data. Queries are reading data from persistence and then map them into the presentation layer required form. Such forms are mostly identified as Data Transfer Objects (DTOs).

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Command Query Responsibility Segregation (CQRS) architectures expand the concept of command-query division at the architectural level. But these architectures are not architectures of the whole software system. It is a design of just one part of the software and that part is called the Application Layer.

Martin Fowler in his blog post from 2005 is saying that it is not always possible to achieve such separation and he is right. A good example of it is returning the id of the just inserted record. First, you are saving the records into persistence (command) and second, you are getting its newly assigned id (query).

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ingle foundation upon every component and discipline that conforms to Data Science: Statistics and Probability, Computer Science, Machine Learning, Deep Learning… All of them are applied mathematics and you should have a level decent enough to understand how all these disciplines come from. Besides, the reason why Data Science and big data has exploded in the past recent years is mainly because of the drastic increase in computation power, or in other words, the capability to perform complex and long calculations in less time.