Middle Name FRANCISCO JEROME VALENZUELA Surname First Name Middle Name AMONCIO DOMINIC LEGASPI Surname First Name Middle Name LEE KEVIN DAGDAYAN Surname First Name Middle Name Course: Diploma in Software Engineering Date: January 25‚ 2013 1. 0 Proposed Capstone Title: Online Grades and Syllabus Monitoring for CIIT College of Arts and Technology (SIS) 2.0 Area of Investigation: 2.1 Field of Investigation PHP Web Programming
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A glimpse of Big Data Jan. 2013 What is big data? “Big data is not a precise term; rather it’s a characterization of the never ending accumulation of all kinds of data‚ most of it unstructured. It describes data sets that are growing exponentially and that are too large‚ too raw or too unstructured for analysis using relational database techniques. Whether terabytes or petabytes‚ the precise amount is less the issue than where the data ends up and how it is used.”------Cite from EMC’s report
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farmers‚ industrialists‚ warehouses‚ consumers‚ dealers and traders‚ who buy and sell commodities. There are warehouses‚ which stores commodities and there are consumers‚ who consume them eventually. In the Indian context‚ warehouses are necessary for the commodity sector and commodity future trading especially for farmers because agricultural commodities constitute a major segment of the Indian economy. When the role of warehouse is necessary The role of a warehouse is most necessary in the
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hardened tool steels (such as AISI H11‚ H13‚ and D2‚ up to 56 HRC) by commercial Ø 0.5 mm square endmills‚ it is observed that the tested micro endmills showed severe wear at an early stage of the process due to chipping off around cutting edge corners‚ resulting in unsatisfactory tool life and product appearance (burr formation). Detailed examination of current tool geometry shows that it is mainly inherited from that of macro endmills‚ making the cutting edge corners the weakest part on the tool. As
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Application Software John Hassler Professor C. Mason Computer Information systems 204 September 13‚ 1996 Computer systems contain both hard and software. Hardware is any tangible item in a computer system‚ like the system unit‚ keyboard‚ or printer. Software‚ or a computer program‚ is the set of instruction that direct the computer to perform a task. Software falls into one of two categories: system software and application software. System software controls the operation of the computer hardware;
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a p t e r 7 MANAGING DATA RESOURCES 7.1 © 2002 by Prentice Hall LEARNING OBJECTIVES • COMPARE TRADITIONAL FILE ORGANIZATION & MANAGEMENT TECHNIQUES • DESCRIBE HOW DATABASE MANAGEMENT SYSTEM ORGANIZES INFORMATION * 7.2 © 2002 by Prentice Hall LEARNING OBJECTIVES • IDENTIFY TYPES OF DATABASE‚ PRINCIPLES OF DATABASE DESIGN • DISCUSS DATABASE TRENDS * 7.3 © 2002 by Prentice Hall MANAGEMENT CHALLENGES • TRADITIONAL DATA FILE ENVIRONMENT • DATABASE APPROACH TO DATA MANAGEMENT • CREATING DATABASE
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CHAPTER 1 INTRODUCTION The purpose of the research is to analyze and answer the “what if” questions in related to the development of the software. To find the best solution for particular problems that may encounter during the study‚ which will help to enhance the system exertion of the game. The Fantasy is used as a modern genre that contains supernatural‚ fabulous or magical aspects. Almost any Fantasy game‚ comes up with some sort of dwarf‚ sorcerer‚ vampire or whatever. The Adventure genre
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Software crisis is a term used in the early days of software engineering. The term was used to describe the impact of rapid increases in computer power and the complexity of the problems which could be tackled. This was with regards to the difficulty in writing correct‚ understandable and verifiable_ computer programs_. VERIFIABLE:-With regards to hardware and software systems‚ a formal verification is the act of proving or disproving the correctness of intended algorithms underlying a system
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Introduction to Data Modeling and MSAccess CONTENT 1 2 3 4 5 6 Introduction to Data Modeling ............................................................................................................... 5 1.1 Data Modeling Overview ............................................................................................................... 5 1.1.1 Methodology .......................................................................................................................... 6 1.1.2 Data Modeling
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Athlete Warehouse Case Study Introduction Colin’s state standing has caused him to contemplate gap up his own business. His dilemmas either ar deciding wherever to find his business‚ at nice Building downtown or Exploits depression within the mall. attributable to him being discharged‚ Colin must begin earning a financial gain to measure. to try to thus he got to improve his projected sales so his earnings would be comfortable to measure on and to be able to pay back Ed’s investment within the business
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