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Data Warehousing

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Data warehousing is particularly popular in environments which have complex data requirements and a broad spectrum of data types contained in its database. The goal of data warehousing is to take full advantage of the power of hardware to contain large quantities of data and use the databases to manipulate that data. Although not yet implemented across all computing environments, data warehousing is becoming popular as hardware becomes more powerful and cost effective.

Relational databases, which dominated database management systems until the late 1990s, were challenged by object-oriented databases (Kentouris ITEM0410400B). Object-oriented databases enable users to access vastly different types of data and do so in a way which is efficient and which increases productivity. In this way, those types of information which were difficult to organize into relational databases--such as graphics, sounds and pictures--can be put into databases and easily accessed by users in either distributed or nondistributed environments. As hardware becomes more accommodating-

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Some common words found in the essay are:
ITEM0410400B Object-oriented, CONCLUSION Data, INTRODUCTION Data, ANALYSIS Relational, data warehouses, meta data, data warehousing, Transportation Distribution, data warehouse, Software World, Industry Apr, Data Warehousing, relational databases, data marts, data mining techniques, data stored, previously unavailable, size data, data previously unavailable, data previously, warehouses data marts, information data warehouse, data warehouses data,
Approximate Word count = 736
Approximate Pages = 3 (250 words per page)

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