The business logic covers the logic that matters to the users or stakeholders of a system. If we're talking about multi-tier applications, it seems pretty clear that business logic, the kind of intelligence that runs a particular enterprise, belongs in the Business Logic Layer, not in the Data Access Layer. If your Web site displays or updates data, you should create a data-access layer and business-logic layer before creating the user interface. The business logic layer, on the other hand, represents the business rules that are enforced via programming logic (computer instructions) regarding how those rules are applied. Business logic in the database makes a lot of sense, and is often even unavoidable. Errors in business logic can be devastating to an entire application. It doesn't say the best place is, just the most common is. Application logic doesn't scale for high data volumes. If you do have clients starting transactions and doing assorted checks, that's a lot of db calls and a long transaction. However, many business logic errors can exhibit patterns that are similar to well-understood implementation and design weaknesses. Business rules are useless without business logic to determine how data is calculated, changed, and transmitted to users and software. One defense I heard for putting the "business logic" in the application vs the database is to make the application database-independent, so that if the application changes the database (for example, from Oracle to MS SQL Server), then the logic still works. Putting logic in the DB is mixing up the tiers. Of course, SQL and relational database design is meant to support your business … It is often argued that this part should be well separated from the rest of the technical infrastructure of your code. Figure 2: N-Tier with Business Logic Split Between Layers 3. Business logic consists of business domain description and business operations. We have 50k rows per second using stored procs. A data-driven Web application usually includes a data-access layer by using typed datasets or entity classes that represent the data. Business Logic vs. Business Rules . "Business logic" shouldn't be confused with "data integrity logic". Business logic is supposed to be the part of the application where you deal with customer or user facing decisions and computations. Business logic complexity; Developer efficiency; Lack of reuse (in non-database-centric systems) A lot of discussions around such topics are usually religious cargo culting that can be settled objectively by putting all facts on the table. Databases do a few things really well: They store and retrieve data Business domain description - a set of domain models and their relations. Basically, this allows the client the flexibility to … Business operations (use cases, scenarios) - the logic of how we create, destroy and modify stuff in our … In general, the proper place for business logic is in the logic tier of the application, not in the database. However, the application server is the most common location for business logic." It’s just a fancy way to say application logic. Business logic doesn't go into the database. The main components of business logic are business rules and workflows.A business rule describes a specific procedure; a workflow consists of the tasks, procedural steps, required input and output information, and … They can be difficult to find automatically, since they typically involve legitimate use of the application's functionality. Business logic is the programming that manages communication between an end user interface and a database. That is in the context of Java and PL/SQL being well suited for business logic though. 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