'Data base management system' presentation slideshows

Carnegie Mellon Univ. Dept. of Computer Science 15-415 - Database Applications

Carnegie Mellon Univ. Dept. of Computer Science 15-415 - Database Applications. C. Faloutsos Introduction. Outline. Introduction to DBMSs The Entity Relationship model The Relational Model SQL: the commercial query language DB design: FD, 3NF, BCNF indexing, q-opt

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Systems for Business Enterprises Introduction

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Decision Support Systems

Decision Support Systems. an introduction to DSS with environmental application examples. What is a DSS ?. Attempts at definition Decision making processes A general DSS architecture Decision Support Paradigms Application examples. What is a DSS ?. Attempts at definition

781 views • 61 slides

Spatial Decision Support and GIS

Spatial Decision Support and GIS. NCGIA Core Curriculum Unit 127 - Spatial Decision Support Systems by Jacek Malczewski, Department of Geography, University of Western Ontario, Canada. Using GIS. GIS and computers can synthesize data and perform analysis and modeling

647 views • 39 slides

What is GIS?

What is GIS?. A technology hardware & software tools An information handling strategy The objective: to improve overall decision making. GIS: a formal definition.

451 views • 36 slides

Data base System Concepts & Data Modeling

Data base System Concepts & Data Modeling. Chapter 1. Data. File Systems. Data Base Management System. DBMS is a collection of interrelated data and set of programs to access those data. Various Data Base Mgt Systems. Disadvantages of File Systems. Data Redundancy and Inconsistency

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KIM Validation for EO Archived Data Exploitation Support (KIMV)

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A Project for archiving and managing physical geodesy data in Antarctica

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A Project for archiving and managing physical geodesy data in Antarctica

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CS 430 Database Theory

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Introduction to Data Bases

Introduction to Data Bases. What is (are) Data. Information? - no Information is PROCESSED data Data are facts - descriptions of an entity, Entity -> Me Facts -> Name, Address, Phone, Age, Ht, Wt, IQ, Eye, Hair Facts can be related or unrelated Name -> First, Last, MI

221 views • 14 slides