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Data Warehouse Listings
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105 | Displaying: 31 - 40 | Pages: << 1 2 3 4 5 6 7 8 9 10 >> |
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Data characteristics are defined during data modeling, a process where a data model is created by applying a data model theory in order to create a data model instance. A data model theory is a formal description of a data model. Data modeling is also a process of structuring data and organizing data so that the data structures will then be the basis
Price: Free - Updated: 02/20/2008
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In the implementation of a structure query language (SQL), the term data cardinality is used to mean the uniqueness of the data values which are contained in a particular column, known as attribute, of a database table. There are actually three types of data cardinality each dealing with columnar value sets. These types are high-cardinality, normal-cardinality,
Price: Free - Updated: 02/20/2008
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In data modeling, a logical data model is the representation of business data into a data model that can be the basis for the physical database implementation. It identifies a data "periodic table" which will be the basis for the business organization's functions, processes and task to be performed. Data modelers design a logical data model
Price: Free - Updated: 02/20/2008
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In the realm of computer science, a logical data model is the accurate representation of a company's data. These data need to be logically represented because later on they will be the basis for data modeling. Data modeling in turn will be the basis for database implementation as the computer needs to understand business entities and activities from
Price: Free - Updated: 02/20/2008
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Data Architecture basically deals with designing and constructing data resource. Data Architecture provides methods to design, construct and implement a fully integrated, business-driven data resource that include real world objects and events, onto appropriate operating environments. Data Architecture also covers data resource components. Data architecture
Price: Free - Updated: 02/20/2008
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Data Conversion, as the name implies, deals with changes required to move or convert data from one physical environment format to that of another, like moving data from one electronic medium or database product onto another format. Every day, data is being shared from one computer to another. This is a very common activity especially in data warehouses
Price: Free - Updated: 02/20/2008
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Data Concurrency ensures that both official data source and replicated data values are consistent, that means whenever data values official data source is updated then the corresponding replicated data values must also be updated via synchronization in order to maintain consistency. In a single user database, each transaction is processed serially,
Price: Free - Updated: 02/20/2008
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Data Denormalization is a process in which internal schema is developed from conceptual schema. The data denormalization, although done by adding redundant data, is actually a process of optimizing a relational database's performance. This is often done with relational model database management system which is poorly implemented. At the logical level,
Price: Free - Updated: 02/20/2008
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Data Compression is a method using which the storage space required for storing data is reduced with the help of mathematical techniques. Data compression is also referred to as source coding. This is the process of encoding data information using as few bits as possible compared to the unencoded data. As a real life non digital analogy, the
Price: Free - Updated: 02/20/2008
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In any data resource, it is essential to meet requirements of current as well as future demand for information. Data completeness assures that the above criterion is fulfilled. Data completeness refers to an indication of whether or not all the data necessary to meet the current and future business information demand are available in the data resource.
Price: Free - Updated: 02/14/2008
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Data Warehouse Listings
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Total:
105 | Displaying: 31 - 40 | Pages: << 1 2 3 4 5 6 7 8 9 10 >> |
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