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Data Warehouse Listings
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Total:
105 | Displaying: 41 - 50 | Pages: << 1 2 3 4 5 6 7 8 9 10 >> |
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Data Collection Frequency, just as the name suggests refers to the time frequency at which data is collected at regular intervals. This often refers to whatever time of the day or the year in any given length of period. In a data warehouse, the relational database management systems continually gather, extract, transform and load data onto the storage
Price: Free - Updated: 02/14/2008
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Clustering in the computer science world is the classification of data or object into different groups. It can also be referred to as partitioning of a data set into different subsets. Each data in the subset ideally shares some common traits. Data cluster are created to meet specific requirements that cannot created using any of the categorical levels.
Price: Free - Updated: 02/14/2008
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In Data Aggregation, value is derived from the aggregation of two or more contributing data characteristics. Aggregation can be made from different data occurrences within the same data subject, business transactions and a de-normalized database and between the real world and detailed data resource design within the common data
Price: Free - Updated: 02/14/2008
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Data administration refers to the way in which data integrity is maintained within data warehouse. Data warehouses are very large repository of all sorts of data. These data maybe of different formats. To make these data useful to the company, the database running the data warehouse has to be configured so that it obeys the business
Price: Free - Updated: 02/14/2008
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Data Modeling is a method used to define and analyze data requirements needed to support the business functions of an enterprise. These data requirements are recorded as a conceptual data model with associated data definitions. Data modeling defines the relationships between data elements and structures. Data modeling can be used for a wide array of
Price: Free - Updated: 02/14/2008
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Data Model is a logical map that represents the inherent properties of the data independent of software, hardware, or machine performance considerations. The model shows data elements grouped into records, as well as the association around those records. Since the data model is the basis for data implementation regardless of software or hardware platforms,
Price: Free - Updated: 02/14/2008
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Data Mining is the process of utilizing the results of data exploration to adjust or enhance business strategies. It builds on the patterns, trends, and exceptions found through data exploration to support the business. It is also known as data harvesting. Data mining is also a technique using software tools geared for the user who typically does
Price: Free - Updated: 02/06/2008
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Data Mart is a subset of the data resource, usually oriented to a specific purpose or major data subject, that may be distributed to support business needs. The concept of a data mart can apply to any data whether they are operational data, evaluational data, spatial data, or metadata. A data mart is a repository of a business organization's data implemented
Price: Free - Updated: 02/06/2008
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Bi-directional extracts refer to the ability of a system to extract, cleanse and transfer data in two directions among different database types which include hierarchical, networked, and relational databases. This functionality is extremely useful in Filed in: data warehousing projects. Data warehouse extraction is the process of retrieving all sorts of data
Price: Free - Updated: 02/06/2008
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Bit Map Indexing is a technique commonly used in relational databases where the application uses binary coding in representing data. This technique was originally used for low cardinality data but recent applications like the Sybase IQ have used this technique efficiently. The word cardinality is an SQL term to refer to the uniqueness of a data value
Price: Free - Platform(s): What is Bit Mapped Index - Updated: 02/06/2008
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Data Warehouse Listings
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Total:
105 | Displaying: 41 - 50 | Pages: << 1 2 3 4 5 6 7 8 9 10 >> |
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