History of Database Processing. Preliminaries Why is there a need to study File Processing and DBM? Why do we use Databases? Simply because of ourselves and there is always something that happens around us. Collect Data Use and Reuse data Historical Perspective Historical Perspective Historical Perspective Historical Perspective The Electronic Age: Diskette Punch Card Why do we Humans desire Databases? Man has always had the desire to record
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The Evolution of Data Models The quest for better data management has led to different models that attempt to resolve the file system’s critical shortcomings. Because each data model evolved from its predecessors‚ it is essential to examine the major data models in roughly chronological order. 1.1 The Hierarchical Model A Hierarchical Database Model is a data model in which the data is organized into a tree-like structure. The structure allows representing information using parent/child relationships:
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Personal Data Using a Cloud Backup Solution” “I have not failed. I’ve just found 10‚000 ways that will not work.” (Thomas Edison). His words take on a new life as we explore the technology of backing up personal data. Choosing the method of backing up computer and mobile device data can be a difficult challenge. There are dozens of data backup solutions available in the market today ranging from external drive backups‚ to cloud backup services. The best solution of backing up personal data is a
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Telecommunications Data Issues Telecommunications have played a big role in today’s generation. Without it‚ it may be impossible for us live in a technologically-advanced world. In full gratitude to the first inventors‚ we are now able to communicate to other people to the other part of the world‚ transact a business with business partners from other nations without going out of the country. Country to country negotiation has become easier and data can be accessible anywhere. Telecommunications data has been
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DATA PROTECTION ACT 1998 GUIDANCE TO SOCIAL SERVICES March 2000 CONTENTS Section 1 Section 2 Section 3 Introduction Glossary of terms Good practice in record keeping Principles underpinning good practice A policy framework Retention and destruction of records Records subject to statutory requirements Management commitment to good practice 4 8 14 14 15 16 17 17 Contents page 1 Section 4 Details of the Act and its implementation Access to social services records Personal
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BOC-008-0312/2007 DATA COLLECTION METHODS Methods of data collection. The term data means groups of information that represent the qualitative or quantitative attributes of a variable or set of variables. Data are typically the results of measurements and can be the basis of graphs‚ images‚ or observations of a set of variables. Data are often viewed as the lowest level of abstraction from which information and knowledge are derived. Data can be classified into primary and secondary data. In order to
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of the research project specifies both the data that are needed and how they are to be obtained. The first step in the data-collection process is to look for secondary data. These are data that were developed for some purpose other than for helping to solve the problem at hand. The data that are still needed after that search is completed will have to be developed specifically for the research project and are known as primary data. The secondary data that are available are relatively quick and
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CHAPTER 2 DATA COLLECTION AND PRESENTATION 2.1 Data Collection This section aims to: 1. Identify‚ compare and contrast the different types of data; 2. List and explain the various techniques of selecting a sample; and 3. Enumerate and illustrate the different sampling techniques Types of Data Data is a collection of facts‚ such as values or measurements. It can be numbers‚ words‚ measurements‚ observations or even just descriptions of things. Two types of Data Primary Data means original
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and work with each other. The functions at Alliance Data have allowed the optimization of organizational resources to effectively and efficiently service their employees‚ their shareholders‚ and more importantly their internal and external customers. Alliance Data is an organization who has become highly successful by ensuring that they maintain a competitive edge by successful implementation regardless of diversions in their path. Alliance Data Systems is an industry leader that delivers branded
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More than Data Warehouse- An insight to Customer Information Ritu Aggrawal – agg_ritu@rediffmail.com Deepshikha Kalra -deepshikha_ishan@yahoo.co.in working with MERI affiliated to GGSIPU‚ Delhi ABSTRACT The business requirements of an enterprise are constantly changing and the changes are coming at an exponential rate. Like advances in Information Technology have helped companies to quickly match competition. As a result‚ product quality and cost are no longer significant competitive
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