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Published 01.02.2014 | Author : admin | Category : What Men Secretly Want Guide

Alaska comprises one hundred fifty-three 1:250,000-scale quadrangle maps, 11 UTM grid zones, five principal meridians, and GIS data in multiple projections. The complex and sometimes active Alaskan geologic environment supports numerous agencies that collect, store, and distribute geologic data. The most critical factor in preparing the database design now is personnel turnover in DGGS. This project encompasses the data and database configuration work required of the Alaska Division of Geological & Geophysical Surveys (DGGS) as part of the interagency Minerals Data and Information Rescue in Alaska (MDIRA) project. The data model resulting from this process is subdivided into seven major data groups subdivided by function and type.
Sample data comprises descriptive, instrumental, and chemical analyses that are completed after the end of the field season. The spatial dataset inventory will hold or link to metadata elements for GIS datasets created or housed in the DGGS system. The Publications Database is, in part, a subset of the cited reference information but contains more information specific to DGGS publications. Thematic databases include information specific to minerals resources and geologic hazards. DGGS already has significant computer resources including at least 45 desktop computers (running Windows NT and Windows 2000), 12 portable computers (running Windows 98 and 2000), six Sun workstations served by a Sun Ultrasparc Enterprise 450, and the numerous switches, printers, plotters, and scanners that make up our local area network (LAN). Point data such as field stations and sample sites may be located by GPS or by digitizing from maps.
The database system will consist of a data server, a relational database management software package, and connections and utilities to interface with the DGGS LAN and GIS.
DGGS has issued a Request For Proposal for a contract to install the database system hardware and software, to design and program the database and supporting functions, and to train staff and support the system for the first two years. During the next six months, we will be working with other agencies in the Interagency Minerals Coordinating Group, Alaska Department of Natural Resources, and the NGMDB to coordinate data transfer, and determine Internet data needs; we will also look to the Alaska public to determine the scope and style of Internet access to the data. The digital geologic database of Alaska will assist with the preservation and distribution of Alaska's mineral and geologic data. With this database, a casual user will be able to conduct searches of information and data, view the data, and download publications and datasets, all from an office or home.


Simple attribute that consist of a single atomic value.A simple attribute cannot be subdivided. Foreign key: An attribute that is the primary key of another table and is used to establish a relationship with that table where it appears as an attribute also. Relationship Types may also have attributes in the E-R model.  When they are mapped to the relational model, the attributes become part of the relation. Cardinality is the number of entity instances to which another entity set can map under the relationship.
An entity set that does not have sufficient attributes to form a primary key is termed as a weak entity set. This sample diagram shows the type of icons and graphics you can use to develop a model of a database of arbitrary complexity according to Chen's notation.
This sample diagram using the Entity-Relationship Diagram (ERD) Solution and shows the type of icons and graphics you can use to develop a model of a database of arbitrary complexity using Crow's Foot notation. This Entity-Relationship Diagram shows the relationships between the Students and Teachers entities.
This sample shows an Entity-Relationship Diagram of a WordPress file reference using Chen’s Notation, which represents the entities as rectangles and attributes as ovals.
This template contains special shapes and settings for creating entity relationship diagrams based on the Chen ERD notation. The ability to describe a database using the Entity-Relationship model is delivered by the Entity-Relationship Diagram (ERD) solution. From the ConceptDraw Solution Browser open the Chen's ERD, or the Crow's Foot ERD template from the ERD section. Add objects to the diagram by dragging them from the Chen's ERD, or the Crow's Fot ERD library to the document page.
The ERD solution from ConceptDraw Solution Park extends ConceptDraw PRO vector graphics and diagramming software with the ability to describe a database using the Entity-Relationship model.
The ERD solution provides entity relationship diagram examples, templates and library of vector stencils. Entity Relationship Diagram examples from ERD solution for ConceptDraw PRO can be used as a start point for professional ERD drawing.


The vector graphic diagrams produced when using the ConceptDraw ERD solution can be used in whitepapers, presentations, datasheets, posters, or any technical materials. Entity-relationship diagram with selected entities from each of the seven functional groups of the DGGS Alaskan geologic database. It is a visual representation of different data using conventions that describe how these data are related to each other. For instance a person may have multiple phone numbers,multiple degrees etc.Multivalued attributes are shown by a double line connecting to the entity in the ER diagram. That is the existence of a weak entity depends on the existence of  a identifying entity set.
Entity-Relationship Diagram solution includes icons advocated by Chen's and Crow’s Foot notation that can be used when describing a database.
Highlight the boxes in the ERD diagram with bright colors to make it attractive and easy to remember.
Drawing all entities of ER-diagram in one color spectrum, highlighting the headers, you will make your diagram look stylish and then successfully use it in different conferences, discussions, publications. Entity Relationship Diagram examples can be simply modified to illustrate the logical structure of exact database. The discriminator (or partial key) is used to identify other attributes of a weak entity set.The primary key of a weak entity set is formed by primary key of identifying entity set and the discriminator of weak entity set. This solution extends ConceptDraw PRO with 2 libraries that contains 45 objects advocated by Chen's and Crow’s Foot notations that can be used when describing a database. All Entity Relationship Diagram examples were designed and saved for ConceptDraw PRO users.
UML is an open standard that uses graphic notations for creating visual models of object-oriented software systems. By nature it is an abstract visualization, the first step in the design process towards creating a logical and functional database.



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