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030618MARAMAHartford
030618MARAMAHartford

... organized, (see RPO VIEWS effort), unique opportunities exists for extracting information about the aerosol system (sources, transformations) from the data directly. ...
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...  Mass changes to records are made thru queries: Update, Delete, Append, and Make-table queries  Update query – makes same change to all records  Delete query - deletes a group of records  Once records are deleted using a delete query, the operation cannot be undone  To preview the records to be ...
Course Syllabus - gozips.uakron.edu
Course Syllabus - gozips.uakron.edu

... This course introduces models and functions of database management systems and examines such practical issues as data definition, design, and manipulation in the relational model using SQL. COURSE OBJECTIVES Students must be able to:  Understand what a database is.  Describe the primary functions ...
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... Would you deliver ten tons of bricks in a wheel barrow? Like many business people you or your colleagues probably keep data in a spreadsheet, and initially it works just fine, problem solved. However after a short while the number of spreadsheets you work with increases and you spend a large proport ...
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... Both applications involve complex analytical queries involving multiple relations. In each case, analysts expect small response times for their queries. Moreover, the selected data sets do not simplify the problem of data preparation. Instead, they highlight the importance and complexity of data pre ...
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... “Research has demonstrated that after a lecture, students recall 62% of the information. However, only 45% is recalled by students after 3-4 days and in 8 weeks only 24% of the information is recalled. If a quiz or exam was administered after the lecture, recall was doubled at the 8-week period. It ...
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... Develop; an ‘appropriate’ Conceptual Data Model for a Case Study organisation. Develop; a ‘robust’ Logical Data Model based on the Conceptual Data Model. ...
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... Each table contains records, which are the horizontal rows in the table. These are also called tuples. Each record contains fields, which are the vertical columns of the table. These are also called attributes. An example would be a product record. Fields can be of many different types. There are ma ...
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... It involves implementation of a number of algorithms, such as credit card number generation and date manipulation to name a few, to support creation of near-real data. Implementation of general data anonymization techniques, such as subsetting, redaction (blacking-out), randomization, generalization ...
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... Is this property that allows to present all the relations in a shape of a table, and allows also to define those operations, not as row to row processing process, but as a result set of an operation between relations (although the row to row processing would be laying under that, but its responsibil ...
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... Failure of communication links: The system must be able to deal with failure of one or more of the communication links that connect the sites. An extreme case of this problem is that network partitioning may occur. This breaks up the sites into two or more partitions, where the sites within each par ...
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... analysis and decision-making because they provide efficient, large-scale information storage and rapid retrieval. Databases support the “back end functionality” of most large web systems. This course gives students extensive, pragmatic experience in designing, building, querying, updating, maintaini ...
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Database Environment

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Entity–attribute–value model

Entity–attribute–value model (EAV) is a data model to describe entities where the number of attributes (properties, parameters) that can be used to describe them is potentially vast, but the number that will actually apply to a given entity is relatively modest. In mathematics, this model is known as a sparse matrix. EAV is also known as object–attribute–value model, vertical database model and open schema.
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