TYPES OF DATA FLOW DIAGRAM: LOGICAL DFD PHYSICAL DFD Data Flow Diagrams (DFDs) are categorized as either logical or physical. A logical DFD focuses on the business and how the business operates. It describes the business events that take place and the data required and produced by each event. On the other hand‚ a physical DFD shows how the system will be implemented. Design Feature Logical Physical What the model depicts How the business operates How the system will be implemented
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University of Gujrat A World Class University Department of Computer Science COURSE DESCRIPTION Course Code CS-203 Course Title Data Structures Credit Hours 4 Category Core Prerequisite Knowledge and Experience in Programming Fundamentals and Object Oriented Programming Expertise in design‚ implementation‚ testing‚ and strong debugging of object-oriented programs. Inner Classes and Exception Handling Amis and Objectives “An apprentice carpenter may want only hammer and saw‚ but a master craftsman
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Department of Information Technology LAB MANUAL IT2205 – Data Structures and Algorithm Lab INDEX 1. Array Implementation Of Stack 2. Application Of Stack – Conversion Of Infix To Postfix 3. Implementation Of Linear Queue Using Arrays 4. Array Implementation Of Circular Queue 5. Linked List Implementation Of Stack 6. Singly linked list – Linked list implementation 7. Doubly
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Data Security and Regulations SRK Abstract This paper discusses data security‚ its importance and implementation. The way threats are posed to information of organizations is also discussed. There are plenty of leakage preventive solutions available in the market. Few of them are listed in the paper. There is a list of regulations governing data security in financial and healthcare sector at the end. Data Security and Regulations As we are advancing into information age‚ more
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Support Spatial Data Mining Gennady Andrienko and Natalia Andrienko GMD - German National Research Center for Information Technology Schloss Birlinghoven‚ Sankt-Augustin‚ D-53754 Germany gennady.andrienko@gmd.de http://allanon.gmd.de/and/ Abstract. Data mining methods are designed for revealing significant relationships and regularities in data collections. Regarding spatially referenced data‚ analysis by means of data mining can be aptly complemented by visual exploration of the data presented on
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Analyzing and Interpreting Data Ballard Integrated Managed Services (BIMS) conducted an internal survey for 440 employees‚ excluding top management‚ asking 10 questions on morale and four questions on demographics. BIMS upper management noticed a change in staff morale and an increase in the staff turnover rate‚ which initiated the survey. Barbara Tucker‚ General Manager‚ wants to discover what is making employees want to leave and has enlisted the help of Debbie Horner. Debbie Horner‚ human
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outlet and the cross section areas of the diffuser and the nozzle. The developed correlations are based on large database that includes manufacturer design data and experimental data. The model includes correlations for the choked flow with compression ratios above 1.8. In addition‚ a correlation is provided for the non-choked flow with compression ratios below 1.8. The values of the coefficient of determination (R 2) are 0.85 and 0.78 for the choked and non-choked flow correlations‚ respectively. As
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Assignment 3: Business Intelligence and Data Warehouses Instructor Name: Jan Felton CIS 111 6/23/2014 Strayer University: Piscataway Difference between the structure of database and warehouse transaction Database is designed to make transactional systems that run efficiently. Characteristically‚ this is type of database that is an online transaction processing database. An electronic strength record system is a big example of a submission that runs on an OLTP database. An OLTP database is typically
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REPORT ON USES OF DATA BASE IN DIFFERENT SECTORS BY MANAGERS SUBJECT- MANAGEMENT INFORMATION SYSTEM SUBMITTED TO: DR. RICHA MISRA SUBMITTED BY: SHUBHADIP BISWAS ROLL NO.-FT-10-948 SEC-A GDM 10-12 IILM-GSM DATE
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Why You Need a Data Warehouse Joseph Guerra‚ SVP‚ CTO & Chief Architect David Andrews‚ Founder Introduction Chances are that you have heard of data warehousing but are a little fuzzy on exactly how it works and whether your organization needs it. It is also highly likely that once you fully understand exactly what a data warehouse can do‚ you will decide that one is needed. 700 West Johnson Avenue Cheshire‚ CT 06410 800.775.4261 www.rapiddecision.net © Copyright RapidDecision 2013 All trademarks
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