A data warehouse is a specialized database for analytical reporting. The approach to building one depends on the organization’s reporting needs. Data is broken down into groups for simplified reporting, and a data warehouse implementation separates a company’s information. Examples include people-based, financial, and sales-based data warehouses. Fact tables and dimension tables are joined using special keys for reporting.
A data warehouse is a special database designed for advanced analytical reporting of an organization. There are many approaches to building a data warehouse. These typically depend on the reporting requirements of the organization. Most of the projects are based on relationships based on subject, department or company. This allows an individual to search for data based on a specific data warehouse implementation.
Corporate reporting requires proper planning and coordination with business groups in a company. These groups provide the critical information needed to lay out tables and data items within the data warehouse. The implementation depends on the reporting needs of these specific business units. This determines how the data relationships within the database will be defined.
A data warehouse is a historical view of data within an organization. This data is broken down into groups of information, which simplifies reporting. Data warehousing requires setting up data marts and business information from a company’s transactional databases. A data warehouse implementation is the method used to separate a company’s information. Some examples of these partitions include finance, customer relationship, sales, and business processes.
A warehouse designed to query information about people is an example of a data warehouse implementation. This requires a specific data modeling design that supports reporting requirements based on individuals interacting with a business. A people-based data warehouse will enable reports based on specific personal data. This typically includes names, ages, general bios, and biometrics. This type of warehouse is most often used within customer relationship management systems.
Corporate financial reporting is another form of data warehouse implementation. This is necessary for large organizations that have several unique lines of business. A data warehouse is needed to pull all business data from each group into a reporting repository. This single view of financial data enables reporting of an entire organization’s sales, profits, and expenses based on regions and marketing trends.
A typical data warehouse includes both fact tables and dimension tables. These fact tables are joined to dimension tables using special keys that represent query parameters needed for reporting. The data warehouse implementation is the basic design and relationships between these tables.
A sales-based data warehouse is another example of a data warehouse implementation. With this type of design sales are considered the fact tables needed for reporting. These fact tables can be configured to map to different dimensions. Some examples of dimension tables include stores, products, and customers. This type of design would allow a user to query sales based on customers, products or stores within an organization.
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