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General information
Are developed for the purpose of combination of advantages and minimization of the shortcomings inherent MOLAP and ROLAP. Unlike MOLAP which works better when these more dense, servers ROLAP it is better when data are quite rarefied. The HOLAP servers apply approach ROLAP to the rarefied areas of multidimensional space and approach MOLAP – to dense areas. The HOLAP servers share a request for several subqueries, direct them to the corresponding fragments of data, combine results, and then provide result to the user. A materialization of selective submissions to HOLAP, selective creation of indexes and also planning of requests and resources it is similar to how it is implemented in servers MOLAP and ROLAP.
Literature
- Labotsky V.V. Knowledge management: technologies, methods and means of representation, extraction and measurement of knowledge - Minsk: BGEU, 2006
- Alperovich M. Technologies of storage and processing of corporate data (Data Warehousing, OLAP, Data Mining)
- Shchavelev L.V. Methods of analytical data processing for decision support. - Open systems, No. 4-5, 1998
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