Troy Wilson* suggest a way for preserving and enhancing the value of exploration data E very year explorationists‚ industrywide‚ collect billions of dollars worth of data. Yet‚ when it comes time for geologists to extract value from their information‚ they often find that value has been lost through poor practices in data management. There is no reliable record of the data that has been collected or data is not where it should be - it has been misplaced or corrupted. Re-assembling information
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Service Marketing 10MBAMM314 Syllabus Module I Introduction to services: What are services‚ Why service marketing‚ Difference in goods and service in marketing‚ Myths about services‚ Concept of service marketing triangle‚ Service marketing mix‚ GAP models of service quality Module II Consumer behaviour in services: Search‚ Experience and Credence property‚ Customer expectation of services‚ Two levels of expectation‚ Zone of tolerance‚ Factors influencing customer expectation of services Customer
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SOCIOLOGICAL METHODS TYPES OF DATA Sociologists have two types of data available to them: information they have self-generated for their own research purposes (primary data)‚ and already existing data that was not specifically created for sociological purposes (secondary data). Primary data can result from‚ the employment of questionnaires‚ structured‚ semi-structured and unstructured interviews‚ and observation techniques. Secondary data is more or less‚ anything else: statistics produced
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Table of Contents Part 1: General review of data link layer 2 a) Explain the working principles of the data link layer. 2 b) Is controlled access better than contention for media access control? Discuss. 2 c) Why is error detection important in this layer? What is being measured? 3 d) Identify three significant noises that can cause errors in data communication digital circuits. Briefly explain. 3 Part 2: General review of error correction 4 a) Why is cyclical redundancy
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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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Big data is the term for a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. The challenges include capture‚ curation‚ storage search‚ sharing‚ transfer‚ analysis and visualization. At multiple TERABYTES in size‚ the text and images of Wikipedia are a classic example of big data. As of 2012‚ limits on the size of data sets that
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Narrative Flow of the Current System a. Flow of Data Figure 1 shows the data flow diagram of the current system where do the Research data on Research Development and Extension come from. First‚ the data will come from the Researcher then they will give it to their adviser‚ next to the Department Coordinator‚ Research Chairman‚ Campus Dean‚ Campus Administrator then it will be sent to Research Development and Extension Office on Capiz State University Main Campus. 1.0 Adviser 2.0 Department
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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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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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