'Olap' diaporamas de présentation

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OLAP

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Data Warehousing

Data Warehousing. Dr. Abdul Basit Siddiqui Assistant Professor FURC, Islamabad. Online Analytical Processing (OLAP). DWH & OLAP. Relationship between DWH & OLAP Data Warehouse & OLAP go together Analysis supported by OLAP. What was the monthly sale for last quarter group by region.

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OLAP & Data Mining

OLAP & Data Mining. CS561-Spring 2012 WPI, Mohamed eltabakh. Online Analytic Processing OLAP. OLAP. OLAP: Online Analytic Processing OLAP queries are complex queries that Touch large amounts of data Discover patterns and trends in the data

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Modelo Multidimensional

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Modelo Multidimensional

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Enterprise Decision Support - A Commercial Perspective

Enterprise Decision Support - A Commercial Perspective. Pete Catley Supervisor, Sales Reporting Systems, Ford Europe Thursday 18 November, 1999 SEM304 - Commercial Programming. Agenda:. Introduction Enterprise Decision Support Overview Case Study: Smarts.

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OLAP and Decision Support

OLAP and Decision Support. Chapter 25, Part A. Introduction. Increasingly, organizations are analyzing current and historical data to identify useful patterns and support business strategies.

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THE OLAP/OLTP CULTURAL CONFLICT

FORUM II. THE OLAP/OLTP CULTURAL CONFLICT. Ron Allan Georgetown University allanr@georgetown.edu. Sean Kelly: Required. A New Mindset TV vs Radio. OLTP. O n L ine T ransaction P rocessing Technology of Live Systems Stands for Regimes That are: Tightly Controlled Hierarchal

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Cube Computation and Indexes for Data Warehouses CPS 196.03 Notes 7

Cube Computation and Indexes for Data Warehouses CPS 196.03 Notes 7. Client. Client. Query & Analysis. Metadata. Warehouse. Integration. Source. Source. Source. Processing. ROLAP servers vs. MOLAP servers Index Structures Cube computation What to Materialize? Algorithms. ROLAP

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Integrating GIS and OLAP: a New Way to Unlock Geospatial Data for Decision-making

Industrial Research Chair in Geospatial Databases for Decision-Support. Integrating GIS and OLAP: a New Way to Unlock Geospatial Data for Decision-making. Dr. Yvan Bedard Professor Laval University Quebec City, Canada. Presentation Plan.

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Michael Goshey University of Minnesota, Fall 2006 CSci 8701: Overview of Database Research

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Imprecise Data and Knowledge Based OLAP

Imprecise Data and Knowledge Based OLAP. Harrow School of Computer Science Data & Knowledge Management Group University of Westminster Watford Road, Northwick Park, HA1 3TP London, UK. Ermir Rogova, Panagiotis Chountas, Krassimir Atanassov. CLBME Bulgarian Academy of Sciences

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Data Mining and the Weka Toolkit

Data Mining and the Weka Toolkit. University of California, Berkeley School of Information IS 257: Database Management. Review OLAP (ROLAP, MOLAP) Data Mining with the WEKA toolkit. Lecture Outline. Related Fields. Machine Learning. Visualization. Data Mining and Knowledge Discovery.

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Qlikview vs OLAP Presented By Quontra Solutions

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O n- L ine A nalytical P rocessing

O n- L ine A nalytical P rocessing. O. L. A. P. Dr. Navneet Goyal Department Of Computer Science BITS, Pilani. What is OLAP?.

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Spatial data warehouses and SOLAP: a new GIS technology

Spatial data warehouses and SOLAP: a new GIS technology. Geosciences, mapping day. Jean-Paul KASPRZYK, phd student. Introduction: GIS and SOLAP. GIS : OnLine Transactional Processing (OLTP) Daily management of spatial data Easy update, integrity and no redundancy of the data

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Data Warehousing

Virtual University of Pakistan. Data Warehousing. Lecture-10 Online Analytical Processing (OLAP). Ahsan Abdullah Assoc. Prof. & Head Center for Agro-Informatics Research www.nu.edu.pk/cairindex.asp National University of Computers & Emerging Sciences, Islamabad Email: ahsan@cluxing.com.

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SSAS Development

Mindfire Solutions has rich experience in development and deployment of OLAP (On-line Analytical Processing) applications both in MS SQL Server 2005/2008. Our user friendly OLAP applications help business analysts to analyze large volumes of data and chalk out strategies not only through pre defined queries/templates but also through adhoc queries /reports generated at real time, thus minimising development effort. Our highly experienced BI (Business Intelligence) Development team has been involved in many OLAP development assignments. We have deep expertise in MDX programming language and SQL Server data-mining design for trend discovery and proactive alert generation. We would be glad to share our expertise in this area in detail with you.

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