By Brian Shannon
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Extra info for Technical Analysis Using Multiple Timeframes - Understanding Market Structure and Profit from Trend Alignment
Any number of formations (versions) may be defined for a product and relationships between formations may be captured. 11: The STEP data architecture For each formation there may exist any number of life-cycle definitions. , a production oriented view and an analysis oriented view. A product life cycle definition may be characterised by the association of properties, where each property is expressed in a defined representation. Example of representations are 3D-shape, textual and maths expressions.
Also the interpretation of atomic data values may differ across databases. 2: Schematic and semantic heterogeneity • Data form/format heterogeneity: Component databases may agree on the language, schema and object level, but may use different low-level representations for representing atomic data values. • Tool heterogeneity: Component databases may use different tools to manage and provide an interface to their data. This kind of heterogeneity may exist with or without the aspects described above.
Even in cases where modelling language, domain, purpose and the selected level of abstraction coincide for multiple schemas it can be expected that there will exist structural differences in the schemas. Even in trivial cases there are multiple modelling alternatives for capturing the same information. 1. 1. In this section the term schema is used as a synonym for information model as this is the term preferred in the database community. ,   . Multi-database research is largely focused on methods for enabling inter-database communication for enabling updates and, in particular, queries spanning over multiple databases.
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