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OLAP
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ALSO CALLED: Online Analytical Processing, OLAP Cube, On-line Analytical Processing Software, Multidimensional Online Analytical Processing, MOLAP, Multidimensional OLAP, and Online Analytical Processing Software
DEFINITION: Hybrid online analytical processing (HOLAP) is a combination of relational OLAP ( ROLAP) and multidimensional OLAP (usually referred to simply as OLAP). HOLAP was developed to combine the greater data capacity of ROLAP with the superior processing capability of OLAP. HOLAP
Definition continues below.
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The Path toward Pervasive Business Intelligence at Ferrari North America
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Organizations in all industries and of all sizes are turning to business intelligence (BI) and data warehousing (DW) technologies and services to either automate or support decision-making processes.
Posted: 02 Dec 2008 | Published: 02 Dec 2008
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IT Briefing: How to Optimize ETL for Demanding Data Environments
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This document is based on a Syncsort/TechTarget Webcast entitled "How to Optimize ETL for Demanding Data Environments."
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Understanding an OLAP Solution from Oracle
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This white paper discusses two Oracle OLAP solutions: Oracle's Hyperion Essbase and Oracle Database 11g OLAP Option which share similar characteristics but are individuals with their differences.
Posted: 18 Sep 2008 | Published: 18 Sep 2008
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The Forrester Wave: Enterprise Business Intelligence Platforms, Q3 2008
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This Forrester Wave evaluation of enterprise BI platforms are Panorama Software and QlikTech, who, while lacking the breadth of features to qualify them as single, large-enterprise BI solutions, are reputable contenders.
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The BI Survey 7, the leading independent survey of real-world BI implementations, provides unique, statistically significant insight into actual BI implementations and customer experiences with various BI products.
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Oracle Database 11g for Data Warehousing and Business Intelligence
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This white-paper provides an overview of Oracle Database 11g's capabilities for data warehousing, and discuses its key features and technologies. Discover how to integrate information, perform fast queries, scale to very large data volumes, and more.
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OLAP DEFINITION (continued):
can use varying combinations of ROLAP and OLAP technology. Typically it stores data in a both a relational database (RDB) and a multidimensional database (MDDB) and uses whichever one is best suited to the type of processing desired. The databases are used to store data in the most functional way. For data-heavy processing, the data is more efficiently stored in a RDB, while for speculative processing, the data is more effectively stored in an MDDB. HOLAP users can
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