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What is OLAP (Online Analytical Processing)

Encyclopedia of Healthcare Information Systems
An approach for processing decision-support, analytical queries that are dimensional in nature.
Published in Chapter:
Biomedical Data Warehouses
Jérôme Darmont (University of Lyon 2, France) and Emerson Olivier (University of Lyon 2, France)
Copyright: © 2008 |Pages: 8
DOI: 10.4018/978-1-59904-889-5.ch021
In this context, the warehouse measures, though not necessarily numerical, remain the indicators for analysis, and analysis is still performed following different perspectives represented by dimensions. Large data volumes and their dating are other arguments in favor of this approach (Darmont et al., 2003). Data warehousing can also support various types of analysis, such as statistical reporting, on-line analysis (OLAP) and data mining. The aim of this article is to present an overview of the existing data warehouses for biomedical data and to discuss the issues and future trends in biomedical data warehousing. We illustrate this topic by presenting the design of an innovative, complex data warehouse for personal, anticipative medicine.
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More Results
A Machine Learning Approach to Data Cleaning in Databases and Data Warehouses
OLAP involves systems for the retrieval and analysis of data to reveal business trends and statistics not directly visible in the data directly retrieved from a database. It provides multidimensional, summarized views of business data and is used for reporting, analysis, modeling and planning for optimizing the business.
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Data Science and Distributed Intelligence
A collection of models, techniques and algorithms for supporting multidimensional, multi-level and multi-resolution analysis of large amounts of data.
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