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Data Warehouse

Data Warehouse

Data Warehouse. Why Data Warehouse and OLAP?. The Intelligence Stage of Decision Making needs correct data Data also should be clean, organized with fast access

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955 views • 60 slides
PreSales Academy

PreSales Academy

Data Modelling. PreSales Academy. Objectives. Defining Data Models Understand how QlikView is Different from SQL Understand Data Warehousing Theory Adopt Applicable QlikView Data Modeling Best Practices. What do we mean by Data Model? Traditional definition:.

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743 views • 57 slides
PreSales Academy

PreSales Academy

Data Modelling. PreSales Academy. Objectives. Defining Data Models Understand how QlikView is Different from SQL Understand Data Warehousing Theory Adopt Applicable QlikView Data Modeling Best Practices. What do we mean by Data Model? Traditional definition:.

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573 views • 57 slides
Intelligent Technologies Module: Ontologies and their use in Information Systems Part II

Intelligent Technologies Module: Ontologies and their use in Information Systems Part II

Intelligent Technologies Module: Ontologies and their use in Information Systems Part II. Alex Poulovassilis. November/December 2009. In the previous lecture we discussed:. What is an ontology? How are ontologies developed? Reasoning over ontologies

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520 views • 40 slides
Relational On-Line Analytical Processing (ROLAP)

Relational On-Line Analytical Processing (ROLAP)

Relational On-Line Analytical Processing (ROLAP). Data Warehouse Schema. Star Schema Snowflake Schema Fact constellation. Star Schema. A single , large and central fact table and one table for each dimension.

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582 views • 34 slides
All That Movies

All That Movies

All That Movies. BIFE Presentation. Agenda. Brief Introduction Dashboard Showcase Other Interesting Discoveries Technical Design Team Work. Brief Introduction. Cereal Killers. Jiang Yongli. Peng Cen. Xia Bing. Motivation. What we want to do is all about movies

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452 views • 31 slides
The Data Warehouse Schema of HIV/AIDS and Drug Use Project

The Data Warehouse Schema of HIV/AIDS and Drug Use Project

The Data Warehouse Schema of HIV/AIDS and Drug Use Project. Characteristic of Source Data Our data is about the patients and their drug use situation information which includes 22 tables , which include various information about a patient .

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381 views • 21 slides
Data Warehouse

Data Warehouse

Data Warehouse. Week 8 Introduction of Data Warehouse Multidimensional Analysis: OLAP. Data Warehouse. Integrated, Subject-Oriented, Time-Variant, Nonvolatile database that provides support for decision making. Characteristics of Data Warehouse. Integrated Centralized

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523 views • 17 slides

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