Fundamental Analysis Fundamental Analysis The process of gathering information‚ organising it into a logical framework and then using it to determine the underlying value of a share. Intrinsic Value The underlying or inherent value of a stock as determined through fundamental analysis. The entire concept of stock valuation is based on the belief that all securities possess an intrinsic value that their current market or trading value must approach over time. Intrinsic Value Depends
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DATABASE A database is an organized collection of data. The data is typically organized to model aspects of reality in a way that supports processes requiring information. (1) Often abbreviated DB‚ a database is basically a collection of information organized in such a way that a computer program can quickly select desired pieces of data. You can think of a database as an electronic filing system. Traditional databases are organized by fields‚ records‚ and files. A field is a single piece of information;
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Database Design Process Database Life Cycle Key points Database design must reflect the information system of which the database is a part Information systems undergo evaluation and revision within a framework known as the Systems Development Life Cycle (SDLC) Databases also undergo evaluation and revision within a framework known as the Database Life Cycle (DBLC) There are two general design strategies exist: top-down vs. bottom-up design centralized vs. decentralized design 2
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DISTRIBUTED DATABASE MANAGEMENT SYSTEM A distributed Database Management System (DDBMS) is a database in which storage devices are not all attached to a common processing unit such as the CPU. It may be stored in multiple computers‚ located in the same physical location; or may be dispersed over a network of interconnected computers. Unlike parallel systems‚ in which the processors are tightly coupled and constitute a single database system‚ a distributed database system consists of loosely coupled
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Database Concepts‚ 4e (Kroenke) Chapter 1 Getting Started 1) The purpose of a database is to help people keep track of things. Answer: TRUE Diff: 1 Page Ref: 4 2) A possible problem with keeping data in lists is that if you delete a row of data from a list you may also delete some data items that you want to keep. Answer: TRUE Diff: 1 Page Ref: 4 3) An advantage of keeping data in lists is that if you update a data value in one row of data in a list‚ other occurrences
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SHAH AND ANCHOR KUTCHHI ENGINEERING COLLEGE Chembur‚ Mumbai. A SYNOPSIS REPORT ON DATABASE DIFFERENTIATOR BY |SUSHANT PAWAR |BE-6-19 | |MAYANK VIRA |BE-6-45 | |DEVENDRA MONDKAR |BE-6-10 | |MILAN PATEL |BE-6-17 | A report submitted in partial fulfillment of the requirement of
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Database Environment Brandon Smith DBM/380 10-8-2012 Kenneth Hoskins Database Environment “A database is a structured collection of records or data that is stored in a computer system. In order for a database to be truly functional‚ it must not only store large amounts of record‚ but also be able to access those records fast and efficiently. In addition‚ new information and changes should also be easy to input.” (tech-faq.com) To be useful over a long term the database should be able
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Proposal Course Name: Database Management System Database System for: School/College Database Name: e School Management System (eSMS) Our Database Software: We have to develop database software on a School/College Islamabad College for Girls (ICG). Our database name is eSMS stands for e school Management System. Selected Organization: The target organization ICG (Islamabad College for Girls) is located at Shalimar 6/2‚ Islamabad. Introduction
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to Any Database Avirup Sil∗ Temple University Philadelphia‚ PA avi@temple.edu Yinfei Yang St. Joseph’s University Philadelphia‚ PA yangyin7@gmail.com Abstract Existing techniques for disambiguating named entities in text mostly focus on Wikipedia as a target catalog of entities. Yet for many types of entities‚ such as restaurants and cult movies‚ relational databases exist that contain far more extensive information than Wikipedia. This paper introduces a new task‚ called Open-Database Named-Entity
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ISM 6215 - Business Database Systems I Fall 2013 Home Work – 1 (Marks 100) Question 1 - Contrast the following terms. Give one example of each 1. Degree versus cardinality of relationship 2. Required versus optional attributes 3. Data dependence versus data independence 4. Structured versus unstructured data (4*2.5 =10 marks) Answer 1 - Degree; cardinality. The degree (of a relationship) is the number of entity types that participate in that relationship‚ while cardinality is a
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