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Defining Aliases within your Datastore in Data
Defining Aliases within your Datastore in Data

... As you can see from the images above the EMPLOYEE table is sourced from the STAGINGTEST database using the owner ‘STAGINGTEST’ which is the database not the owner name. How Data Services reads owner names of table objects is something to always keep in mind when working with various database platfo ...
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... must also be addressed. Actually, database is an important component of the whole data-chain because it will contain a huge amount of data that will be quite unworkable if badly designed. Moreover, data from naturalistic driving experiences have three important specific characteristics: It concerns ...
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... • understand the principles of the relational database model. • understand the design process underlying the design of databases and the use of normalization; • understand the concepts involved in transaction management; • understand the XML terminology and syntax and understand how to use XML; • un ...
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... Fractional numbers, with a maximum of s digits and d decimal places; d can be omitted. ...
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... database tables • Use XML to describe the metadata for a table of information, and classify the uses of the tags as identification, affinity, or collection • Understand how the concepts of entities and attributes are used to design a database table • Use the six database operations: Select, Project, ...
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... If working with more than one database, use the following sequence Data>Add New Datasource>Database> Next>New Connection>, select server name)>Select or enter etc.>Browse to/select (file name)>click Test ConnectionOpen>OK>Next>No (don't move)>Next>expand Tables and select ...
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imch13 - bcf.usc.edu
imch13 - bcf.usc.edu

... There are four commonly used types of fields: Character fields contain descriptive data such as names, addresses, and telephone numbers. Numeric fields contain numbers used for calculations. You must specify the number of decimal places you wish to use. Date fields are automatically limited to eight ...
< 1 ... 409 410 411 412 413 414 415 416 417 ... 492 >

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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