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What is Online Analytical Processing (OLAP)

Chapter 34
Encyclopedia of Human Resources Information Systems: Challenges in e-HRM
Refers to the possibilities to consolidate, view, and analyze data according to multiple dimensions. The fast analysis of shared multidimensional information (FASMI) concept characterizes OLAP by means of five attributes.
Published in Chapter:
Data Warehouse and Business Intelligence Systems in the Context of E-HRM
Martin Burgard (Saarland University, Germany) and Franca Piazza (Saarland University, Germany)
Copyright: © 2009 |Pages: 7
DOI: 10.4018/978-1-59904-883-3.ch034
Abstract
The increased use of information technology leads to the generation of huge amounts of data which have to be stored and analyzed by appropriate systems. Data warehouse systems allow the storage of these data in a special multidimensional data base. Based on a data warehouse, business intelligence systems provide different analysis methods such as online analytical processing (OLAP) and data mining to analyze these data. Although these systems are already widely used and the usage is still growing, their application in the area of electronic human resource management (e-HRM) is rather scarce. Therefore, the objective of this article is to depict the components and functionality of these systems and to illustrate the application possibilities and benefits of these systems by selected application examples in the context of e-HRM.
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Chapter 7
Digital Knowledge Transfer for Banks: From a Lean Data Management Perspective
A technology good at processing a large amount of data from different dimensions.
Published in Chapter: Digital Knowledge Transfer for Banks: From a Lean Data Management Perspective; From: Harnessing Technology for Knowledge Transfer in Accountancy, Auditing, and Finance
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Chapter 1
Emerging Business Intelligence Technologies for SMEs
Is a decision support software that allows the user to quickly analyze information that has been summarized into multidimensional views and hierarchies. OLAP tools are used to perform trend analysis on sales and financial information. They enable users to drill down into masses of sales statistics in order to isolate products that are the most volatile.
Published in Chapter: Emerging Business Intelligence Technologies for SMEs; From: Handbook of Research on Enterprise 2.0: Technological, Social, and Organizational Dimensions
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Chapter 74
Index and Materialized View Selection in Data Warehouses
An approach for processing decision-support, analytical queries that are dimensional in nature.
Published in Chapter: Index and Materialized View Selection in Data Warehouses; From: Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends
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Chapter 108
Organizational Data Warehousing
A database designed to support analytical processing such as decision support.
Published in Chapter: Organizational Data Warehousing; From: Encyclopedia of Information Technology Curriculum Integration
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Chapter 76
GR-OLAP: Online Analytical Processing of Grid Monitoring Information
An approach to quickly provide the answer to analytical queries that are dimensional in nature.
Published in Chapter: GR-OLAP: Online Analytical Processing of Grid Monitoring Information; From: Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends
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Chapter 274
Histogram-Based Compression of Databases and Data Cubes
A methodology for representing, managing and querying massive DW data according to multidimensional and multi-resolution abstractions of them.
Published in Chapter: Histogram-Based Compression of Databases and Data Cubes; From: Encyclopedia of Information Science and Technology, Second Edition
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Chapter 1
Fundamental Concepts of Cloud Computing
This is one type of data processing systems, uses data to gain valuable insights, which is used to solve data problems.
Published in Chapter: Fundamental Concepts of Cloud Computing; From: Emerging Trends in Cloud Computing Analytics, Scalability, and Service Models
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Chapter 425
Models and Techniques for Approximate Queries in OLAP
A methodology for representing, managing, and querying massive DW data according to multi-dimensional and multi-resolution abstractions of them.
Published in Chapter: Models and Techniques for Approximate Queries in OLAP; From: Encyclopedia of Information Science and Technology, Second Edition
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Chapter 57
Online Analytical Processing and Data-Cube Technologies
OLAP is mainly for analytical and informational purposes rather than operational purposes. Through a friendly interface and efficient query evaluation, OLAP can help enterprise managers make informative, strategic decisions.
Published in Chapter: Online Analytical Processing and Data-Cube Technologies; From: Handbook of Research on Public Information Technology
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Chapter 12
Big Data and Cloud Computing
Software technology that can be used to analyze business data from different points of view.
Published in Chapter: Big Data and Cloud Computing; From: Emerging Trends in Cloud Computing Analytics, Scalability, and Service Models
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Chapter 144
Customer Relationship Management and Knowledge Discovery in Database
Various types of online query-driven analyses for examining stored data. OLAP enables a user to easily and selectively extract and view data from different points-of-view.
Published in Chapter: Customer Relationship Management and Knowledge Discovery in Database; From: Encyclopedia of Information Science and Technology, Second Edition
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Chapter 28
Development and Design Methodologies in DWM
“OLAP is software for manipulating multidimensional data from a variety of sources that has been stored in a data warehouse. The software can create various views and representations of the data. OLAP software provides fast, consistent, interactive access to shared, multidimensional data.”
Published in Chapter: Development and Design Methodologies in DWM; From: Encyclopedia of Decision Making and Decision Support Technologies
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Chapter 29
Data Warehouse Software
A broad term to describe a type of processing that allows for unlimited views of multiple relationships within summarized data. It is typically, although not necessarily, associated with multi-dimensional databases where this pre-summarized data can be efficiently stored.
Published in Chapter: Data Warehouse Software; From: Encyclopedia of Information Technology Curriculum Integration
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Chapter 15
Data Warehousing for Decision Support
OLAP is a database designed to support analytical processing such as decision support.
Published in Chapter: Data Warehousing for Decision Support; From: Encyclopedia of Decision Making and Decision Support Technologies
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Chapter 23
A Generalized Comparison of Open Source and Commercial Database Management Systems
It is an approach to quickly provide the answer to complex analytical queries. It is part of the broader business intelligence category that also includes data mining. The typical applications of OLAP are in business reporting for sales, marketing, management reporting business performance management (BPM), budgeting and forecasting, financial reporting, and similar areas.
Published in Chapter: A Generalized Comparison of Open Source and Commercial Database Management Systems; From: Handbook of Research on Open Source Software: Technological, Economic, and Social Perspectives
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Chapter 15
Business Intelligence, Knowledge Management, and Customer Relationship Management Technological Support in Enterprise Competitive Competence
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Chapter 182
Relational Data Access for Business Data Analytics
Huge amounts of data are processed and analyzed. In contrast to OLTP, we analyze a few features of entities. Durations of read actions are much longer than in OLTP context. Besides data quality issues, integration, aggregation, and consolidation are important aspects.
Published in Chapter: Relational Data Access for Business Data Analytics; From: Encyclopedia of Business Analytics and Optimization
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