Secondary data refers to the data which an investigator does not collect himself for his purpose rather he obtains them from some other source‚ agency or office. In other words‚ this data has already been collected by some other source and an investigator makes use of it for his purpose. Secondary data is different from primary data on the basis of the sources of their collection. The difference between the two is relative - data which is primary at one place become secondary at another place.
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Lecture Notes 1 Data Modeling ADBMS Lecture Notes 1: Prepared by Engr. Cherryl D. Cordova‚ MSIT 1 • Database: A collection of related data. • Data: Known facts that can be recorded and have an implicit meaning. – An integrated collection of more-or-less permanent data. • Mini-world: Some part of the real world about which data is stored in a database. For example‚ student grades and transcripts at a university. • Database Management System (DBMS): A software package/ system to facilitate
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The Difference Between Data Centers and Computer Rooms By Peter Sacco Experts for Your Always Available Data Center White Paper #1 EXECUTIVE SUMMARY The differences between a data center and a computer room are often misunderstood. Furthermore‚ the terms used to describe the location where companies provide a secure‚ power protected‚ and environmentally controlled space are often used inappropriately. This paper provides a basis for understanding the differences between these locations
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and Kimball’s definition of Data Warehousing. Bill Inmon advocates a top-down development approach that adapts traditional relational database tools to the development needs of an enterprise wide data warehouse. From this enterprise wide data store‚ individual departmental databases are developed to serve most decision support needs. Ralph Kimball‚ on the other hand‚ suggests a bottom-up approach that uses dimensional modeling‚ a data modeling approach unique to data warehousing. Rather than building
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is a necessity for a businesses trying to maximize its profits. A new‚ and important‚ tool in gaining this knowledge is Data Mining. Data Mining is a set of automated procedures used to find previously unknown patterns and relationships in data. These patterns and relationships‚ once extracted‚ can be used to make valid predictions about the behavior of the customer. Data Mining is generally used for four main tasks: (1) to improve the process of making new customers and retaining customers;
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Noah Watkins Nosky Analysis of Major Works 12/4/12 Major Works Data Sheet |Note: You may download from Edline or email me for a Word version of this sheet. | | |Details of the setting (include changes in setting): | |Author: Franz Kafka |The entirety of the novel takes place within the confines
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The data protection principles There are eight data protection principles that are central to the Act. The Company and all its employees must comply with these principles at all times in its information-handling practices. In brief‚ the principles say that personal data must be: 1. Processed fairly and lawfully and must not be processed unless certain conditions are met in relation to personal data and additional conditions are met in relation to sensitive personal data. The conditions are
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Data transmission‚ digital transmission‚ or digital communications is the physical transfer of data (a digital bit stream) over a point-to-point or point-to-multipoint communication channel. Examples of such channels are copper wires‚ optical fibres‚ wireless communication channels‚ and storage media. The data are represented as an electromagnetic signal‚ such as an electrical voltage‚ radiowave‚ microwave‚ or infrared signal. Data representation can be divided into two categories: Digital
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Turnage‚ Bonebright‚ Buhman‚ Flowers (1996) showed that untrained participants can listen to shapes. That is‚ they used data sonification – musical representation of two dimensional space‚ with pitch as the vertical dimension and time as the horizontal dimension – to present participants the visual and auditory representation of waveforms. In two conditions‚ they showed the participants could match one visual presentation to one of two auditory representations‚ or match one auditory presentation
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Interpreting your data is a process that involves answering a series of questions about the research. We suggest the following steps: 1) Review and interpret the data "in-house" to develop preliminary findings‚ conclusions‚ and recommendations. 2) Review the data and your interpretation of it with an advisory group or technical committee. This group should involve local‚ regional‚ and state resource people who are familiar with monitoring and with your product. They can verify‚ add to‚ or
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