A data dictionary is a file that defines the basic organization of a database. A data dictionary has a list of all files in the database‚ the number of records that are in each file‚ the names and types of each field. The data dictionary is hidden from users so that it is not accidentally destroyed. The data dictionary only keeps bookkeeping information and does not actually contain any data from the database. The database management system cannot access data from the database without a data dictionary
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Data Collection Methods OBSERVATIONS Observation is a primary method of collecting data by human‚ mechanical‚ electrical or electronics means with direct or indirect contact. As per Langley P‚ “Observations involve looking and listening very carefully. We all watch other people sometimes but we do not usually watch them in order to discover particular information about their behavior. This is what observation in social science involves.” Observation is the main source of information in the
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Data Warehousing Failures Eight studies of data warehousing failures are presented. They were written based on interviews with people who were associated with the projects. The extent of the failure varies with the organization‚ but in all cases‚ the project was at least a disappointment. Read the cases and prepare a one or two page discussion of the following: 1. What’s the scope of what can be considered a data warehousing failure? Discuss. 2. What generalizations apply across
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Qualitative data analysis What Is Qualitative Analysis? Qualitative modes of data analysis provide ways of discerning‚ examining‚ comparing and contrasting‚ and interpreting meaningful patterns or themes. The varieties of approaches - including ethnography‚ narrative analysis‚ discourse analysis‚ and textual analysis - correspond to different types of data‚ disciplinary traditions‚ objectives‚ and philosophical orientations. What Is Qualitative Analysis? We have few agreed-on canons for qualitative
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Managing Data Resources Case: Better data help Virgin Mobile Australia win the customer wars Virgin mobile Australia is a major player in the Australian mobile industry. It had grown aggressively by pioneering new products and services‚ including a prepaid service that did not require a contract‚ free voice mail‚ and billing all calls by second. Other operators followed suit‚ leaving Virgin Mobile Australia wondering how it could maintain its competitive lead. The answer lay in making better
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Oracle Fusion Applications Using External Data Integration Services Table of Contents Introduction 4 External Data Integration Services: Overview 4 Integration Points to consider 5 Locating File Import Templates: Explained 5 Prepare Data Files 6 Data Integration using Manual Flow 7 File for Import and Export: Highlights 7 File for Import and Export: Explained 8 Load Interface File for Import Process 10 Importing Data into Application Tables: Procedure 11 Flow Automation using Web Service
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There are 4 major types of bridges. We have a separate page for each type of bridge. Please go to one of the following pages. Beam - The beam type is the simplest type of bridge. The beam bridge could be anything as simple as a plank of wood to a complex structure. It is made of two or more supports which hold up a beam. Arch - In the arch type of bridge‚ weight is carried outward along two paths‚ curving toward the ground. Suspension/Cable-stayed - The deck (trafficway) of a suspension bridge
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Classify the types of friends you have. When I was a little girl‚ the thing made me happy was having as many friends as possible. However; when I grow up I realize that there are many types of friends I should not get close with. According to me‚ based on how well I know friends are classified into three types are: best friend‚ hypocrite friends and pest friends. First of all is the best friend whom you can truth‚ you can share everything‚ you can rely on and whom you can call when you get in
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1. With necessary diagram explain about data warehouse development life cycle . Ans : Introduction to data warehouses. Data warehouse development lifecycle (Kimball’s approach) Q. 2. What is Metadata ? What is it’s uses in Data warehousing Archietechture ? Ans : In simple terms‚ meta data is information about data and is critical for not only the business user but also data warehouse administrators and developers. Without meta data‚ business users will be like tourists left
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quantitative data collection. Data collection is often costliest and the most time consuming portion of study.Quantitative research is an approach for testing objective theories by examining the relationship among variables.The data collection method in quantitative research is in structured manner which involves decent planning of data collection. The planning of data collection process involves certain steps as follows: Identification of data needs. Selecting types of measures of
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