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Databasics: An Overview of Database Use for Archivists By Daniel
Databasics: An Overview of Database Use for Archivists By Daniel

... results of simple typing errors four different records for the same subject heading, all because of misplaced periods and missing or added spaces. To avoid these mistakes, many database products will allow a master user to control what entries can be used in certain fields. Thus an entry for "New Yo ...
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... • Most database applications require many tables, and these applications also require that the tables be related • The connection between two tables is a relationship, and the database containing the relationships is called a relational database • Connecting two tables based on the values in a commo ...
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... Intelligent Keys : have a meaning. Longitude and Latitude of an object (say a building) uniquely identifies a building and also nominates where it is. Super Key : This is normally a key with too many attributes in it. Some of the columns could be removed and a key would still exist. A good example i ...
SQL Server and SharePoint Best Frienemies
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... Content Database for Central Admin is a Content DB with very specific templates - considered to be an extension of the configuration database Backup and Recovery It is Supported to back up this database It is Not Supported to restore unless the farm is fully stopped when the backup is taken ...
PowerDesigner® WarehouseArchitect™ The Model for Data
PowerDesigner® WarehouseArchitect™ The Model for Data

... metaphor is used. Each side of the cube represents a dimension (or path) along which queries will be searched. The cube shows that several dimensions can be searched simultaneously and that each dimension can be detailed, depending on the level of query granularity. Dimensions can include attribute ...
Database System Development Life Cycle
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... • Inside-out: similar to the bottom out, but identifies first a set of major entities that are then spread out to consider related entities, attributes and relationships. • Mixed: uses bottom up and top down for different parts of the model. ...
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...  Can cause consistency related issues when new rows are inserted during the same transaction after the data is first accessed (phantom reads)  Can cause excessive locks if the queries are longrunning or poorly written until the query is committed ...
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... – Queries used to produce lists of products – Updates used to store orders • New record created for order in Order table • Customer information added to other tables • Quantities updated in inventory tables ...
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... HOURS OF LECTURE, LABORATORY, RECITATION, TUTORIAL, ACTIVITY: 2 lecture hours per week         ...
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... Indicate why the following query will not execute successfully. (There may be more than one reason.) Format the code according to conventions so it will execute. Select job_id, avg(salary) from employees where avg(salary) > (select avg(salary) from employees group by department_id) group by job_id; ...
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... ordering attribute chosen is key of relation, index will be a primary index; otherwise, index will be a clustering index.  Each relation can only have either a primary index or a clustering index.  Secondary indexes provide a mechanism for specifying an additional key for a base relation that can ...
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...  Database Schema: The description of a database. It Includes descriptions of the ...
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... specifications needed to specify the location of the source data. Each option comes with different parameters needed to locate, connect and open the data source. Once the data source is configured, click next which will allow the selection of the destination for the data. In most instances you will ...
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... • But countered with “object-relational” systems, which retain the relational core while allowing type extension as in OO systems. ...
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... user interfaces to use of standards for portability and ease of vendor selection. Performance is also an ease of use issue -- if it allows you to ask more powerful questions then ever before and get the answer in what the customer thinks is a reasonable amount of time. And finally and also very impo ...
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Automapper: Relational Database Semantic
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Database prototypes Tool development for data entry Data Examples
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... Trade off between pre-processing and query processing Pre-compute ranked lists of the tuples for all possible “atomic” queries. Then at query time, given an actual query that specifies a set of values X, we “merge” the ranked lists corresponding to each x in X to compute the final Top-K tuples. We s ...
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... way many companies and individuals work. The developments in this technology over the last few years have produced database systems that are more powerful and more intuitive to use, and users are creating databases and applications without the necessary knowledge to produce an effective and efficien ...
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Locks and Concurrency
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... o READ COMMITTED - Specifies that shared locks are held while the data is being read to avoid dirty reads, but the data can be changed before the end of the transaction, resulting in nonrepeatable reads or phantom data. This option is the SQL Server default. o READ UNCOMMITTED - Implements dirty rea ...
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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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