Logic design

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Logic design

Data Warehousing Schemas Logical vs.

Logic design

Physical If you are reading this guide, it is likely that your organization has already decided to build a data warehouse. Moreover, it is likely that the business requirements are already defined, the scope of your application has been agreed upon, and you have a conceptual design.

So now you need to translate your requirements into a system deliverable. In this step, you create the logical and physical design for the data warehouse and, in the process, define the specific data content, relationships within and between groups of data, the system environment supporting your data warehouse, the data transformations required, and the frequency with which data is refreshed.

The logical design is more conceptual and abstract than the physical design. In the logical design, you look at the logical relationships among the objects. In the physical design, you look at the most effective way of storing and retrieving the objects.

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Your design should be oriented toward the needs of the end users. End users typically want to perform analysis and look at aggregated data, rather than at individual transactions.

Your design is driven primarily by end-user utility, but the end users may not know what they need until they see it. A well-planned design allows for growth and changes as the needs of users change and evolve. By beginning with the logical design, you focus on the information requirements without getting bogged down immediately with implementation detail.

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Create a Logical Design A logical design is a conceptual, abstract design. You do not deal with the physical implementation details yet; you deal only with defining the types of information that you need.

The process of logical design involves arranging data into a series of logical relationships called entities and attributes. An entity represents a chunk of information. In relational databases, an entity often maps to a table. An attribute is a component of an entity and helps define the uniqueness of the entity.

In relational databases, an attribute maps to a column. You can create the logical design using a pen and paper, or you can use a design tool such as Oracle Warehouse Builder or Oracle Designer.

While entity-relationship diagramming has traditionally been associated with highly normalized models such as online transaction processing OLTP applications, the technique is still useful in dimensional modeling.

You just approach it differently.

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Electronic Logic Design Index Carlos Gonzalez Jun 01, A programmable logic controller PLC is an industrial solid-state computer that monitors inputs and outputs, and makes logic-based decisions for automated processes or machines.

In dimensional modeling, instead of seeking to discover atomic units of information and all of the relationships between them, you try to identify which information belongs to a central fact table s and which information belongs to its associated dimension tables.Increase Engineering Capacity without Adding People.

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Logic design

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Course: Introduction to Logic Design