different variants with different amounts of data in the database. This will lay a foundation for the thesis in general and will evaluate some of the related work in this context. Related Work The thesis “No Relation: The Mixed Blessings of Non-Relational Databases” [1] gives a good understanding of non-relational data stores. The author discusses the non-relational data stores in detail and how they differ from relational data stores. Comparison of both data models in terms of strengths and weaknesses
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Introduction What is “Data”? ► A representation of raw facts which has no meaning assigned ► Generally‚ operations are performed on data or data items to supply some information about an entity. What is a Database? A database is an integrated and structured collection of stored operational data used (shared) by application systems of an enterprise Examples of Databases • Medical records • Bank accounts • Stock control • Telephone directories
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keeping with the ideals of the relational model. MS Access software used for creating databases * Quickly * Accurately * Using wizards and templates developed to maintain the integrity of your data * Data are just information * Database * Collection of data * Related to a particular topic or project Access has an .mdb extension by default in 2003 version. Early versions of Access cannot read .accdb extensions but Microsoft Access 2007 can read and change
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In this paperwork of IT 240 Latest Version Set (A) Week 6 Assignment Work Group Scenarios you will find the answers on the next points: Read the following scenario: Your Microsoft Computer Science - General Computer Science iLab 3 : Database Construction Using Access (100 Points) i L A B O V E R V I E W Scenario and Summary In this assignment‚ you will learn to create an Access database from a given ERD. To complete this assignment‚ you will need to be able to
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conceptual design for the database At this stage‚ a conceptual data model is created that illustrates relationships between information sources‚ users‚ and business process steps 5. Develop logical data model The conceptual data model is used to develop a logical data model based on one of the primary DBMS types: relational‚ hierarchical‚ network‚ or object-oriented approaches. 6. Develop physical design With the logical data model in hand‚ developers move to the physical design‚ which involves
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TBLGENDER FIELD NAME DATA TYPE SIZE CONSTRAINT REFERENCES GID IntN/A PK‚ IDENTITY NONE GDESC Varchar6 NOT NULL NONE 2. TABLE NAME: TBLGRDLVL FIELD NAME DATA TYPE SIZE CONSTRAINT REFERENCES GRDID IntN/A PRIMARY KEY‚IDENTITY NONE GRDLVLDESC VarChar15 NOT NULL NONE GRDSECTION Varchar15 NOT NULL NONE 3. TABLE NAME: TBLRANK FIELD NAME DATA TYPE SIZE CONSTRAINT REFERENCES RANKID IntN/A PRIMARY KEY‚IDENTITY NONE RANKDESC Varchar20 NOT NULL NONE 4. TABLE NAME: TBLDEPT FIELD NAME DATA TYPE SIZE CONSTRAINT
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Principles of Database Management System Description UNIT1: Introduction: Data base system concepts and architecture‚ Data models schema and instances‚ Data independence and data base language and interface‚ Data definition languages‚ DML. Overall data base structure. Various Data models: Hierarchical‚ Network‚ ER and their comparisons UNIT2: Relational Database Language and interfaces: Relational data model concepts‚ integrity constraints ‚Keys domain constraints‚ referential integrity
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Team C Group Assignment Week 2 Kudler Fine Foods Proposal Instructor: POS/410 Background and Business Application Proposal Kudler Fine Foods is an upscale specialty food store‚ servicing the fine food conesouer from their three California locations. Kudler’s business objective is to maximize profits by offering the highest quality products at competitive prices. Through adding the on-line ordering system‚ Kudler hopes to boost profits by increasing their customer base beyond customers
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MODEL 16 4 RELATIONAL ALGEBRA AND CALCULUS 28 5 SQL: QUERIES‚ CONSTRAINTS‚ TRIGGERS 45 6 DATABASE APPLICATION DEVELOPMENT 63 7 INTERNET APPLICATIONS 66 8 OVERVIEW OF STORAGE AND INDEXING 73 9 STORING DATA: DISKS AND FILES 81 10 TREE-STRUCTURED INDEXING 88 11 HASH-BASED INDEXING 100 12 OVERVIEW OF QUERY EVALUATION 119 13 EXTERNAL SORTING 126 14 EVALUATION OF RELATIONAL OPERATORS 131 i iiDatabase Management Systems
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updates‚ and deletes data in a database while controlling access and security (see figure 6.9). Query-By-Example (QBE) tool – helps users graphically design the answer to a question against a database Managers typically interact with OBE tools Structured-Query-Language (SQL) – Asks users to write lines of code to answer questions against a database MIS professionals have the skills required to code Relational Database Model (RDMS) – allows users to create‚ read‚ update‚ and delete data in a relational
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