| | | | | | | | | |Information Technology Department | | | |SCHOOL OF INFORMATION AND TECHNOLOGY
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By Arun Sen and Atish P. Sinha A Comparison of Data Warehousing Methodologies Using a common set of attributes to determine which methodology to use in a particular data warehousing project. DATA INTEGRATION TECHNOLOGIES have experienced explosive growth in the last few years‚ and data warehousing has played a major role in the integration process. A data warehouse is a subjectoriented‚ integrated‚ time-variant‚ and nonvolatile collection of data that supports managerial decision making
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specify their primary keys‚ and explain how they are related through foreign keys. Given a table or a set of tables‚ be able to specify their primary keys and foreign keys. What are metadata? Understand the definition and use of DBMS. Be familiar with major DBMS products. Week 3 Understand what SQL stands for‚ what it does. You will be asked to write SQL scripts to display required information‚ like we did in the homework. Understand the three components of a basic select statement and what
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By: Emer John C. Epineli September 2‚ 2013 Submitted to: Mr. James Angelo V. Aves Table of Contents INTRODUCTION 3 Background of the Study 3 Problems addressed by the DBMS 3 Creator of the System 4 Improvements with the use of the DBMS 4 DESIGN AND CODING 6 Entity Relationship Diagram (ERD) 6 Relational Schema 6 Queries used 7 RECOMMENDATION 10 Appendices 11 Screenshots 11 Data Dictionary 11 Interview Images 11 Interview questionaire 11 INTRODUCTION Background
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Technical feasibility 2 3.2.1. Front-end and back-end selection 2 3.2.2. Front-end selection 2 3.3. Economical feasibility 2 3.4. Operational Feasibility 2 3.5. Schedule feasibility 2 4. General Information 2 4.1. Entities 2 4.2. ERD Diagram 2 4.3. Data Dictionary and Normalization 2 5. Testing 2 6. Conclusion 2 List of Tables Table 1: Entity course 2 Table 2: Entity Lecturer 2 Table 3: Entity Room 2 Table 4: Entity subject 2 Table 5: Entity subject_timetable
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database‚ instead the database structure and its data characteristics are defined in the data dictionary component of the DBMS. Therefore the programs accessing the database become independent of the database) 4. Database integrity (because data duplication or data redundancy is minimized as a result of relating the segments or records) 5. Efficiency (the hierarchical DBMS file storage organization and access methods are based on the new hierarchal database structure which is much faster than
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AIS 424A- Winter 2013 List of Most Important Topics to Review for Exam I Chapters 1&2: - The three basic objectives of AIS 1. To effectively collect and store data about a company’s activities‚ transactions‚ and resources - Capture transaction data on source documents. - Record transaction data in journals‚ which present a chronological record of what occurred. - Post data from journals to ledgers‚ which sort data by account type. 2. To transform data into information useful to management
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information needs arise. * Supports many different views. (Ricardo‚ 2012) In the Entity-Relationship Diagram (ERD)‚ we start by identifying the entities. In this instance we will use Instructors and Courses as are entities. Next we will identify how they relate to one another. In this model the Instructors and Courses will relate by Instructor ID and Course ID. Once we have a good ERD we need to review it for normalization which is done automatically in software like Microsoft Access. Once both
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Character The most basic logical data element is the character‚ which consists of a single alphabetic‚ numeric‚ or other symbol. One might argue that the bit or byte is a more elementary data element‚ but we should remember that those terms refer to the physical storage elements provided by the computer hardware. Field The next higher level of data is the field‚ or data item. A field consists of a grouping of related characters. For example‚ the grouping of alphabetic characters in a person’s
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good decision making and good decision making is the key to organizational survival in a global environment • Data are usually stored in a database. To implement a database and manage its contents you need a database management system (DBMS). DBMS serves as an intermediary between the user and the database. The database contains the data you have collected & “data about data” metadata. • Database design defines the database structure. A well-designed database facilitates data management
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