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[DOCX File]Introduction - NIST Big Data Working Group (NBD-WG)
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The data ingestion function provides the foundation for the Big Data platform. The SAP HANA platform supports several data types, including structured, semi-structured, and unstructured data, which can come from a variety of sources, such as traditional back-end systems, sensors, and social media and events streams.
what is semi structured data

[DOC File][ Project ]
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Different data formats can be used to represent data objects and the model. For hierarchical structured object models, the semi-structured data is often expressed using XML (Extensible Markup Language) or the related frameworks, such as RDF (Resource Description Framework) or OWL (Web Ontology Language).
structured vs semi structured data

[DOC File]Service Catalog - Information Technology Services
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In-depth interviews using structured and semi-structured formal surveys are used to collect primary data to verify the proposed operational model and the conceptual model. Interviews are recorded for conducting more detailed and accurate analysis.
semi structured data definition

[DOC File]I
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The fundamental tasks of data extraction are to identify and extract relevant information within a semi-structured or unstructured document, and to map the identified data to a more formal structure to permit easier manipulation of the data [3,4,6,9,18,24].
examples of semi structured data

[DOC File]Graph based Multi-Dimensional Design of Data Warehouse …
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Graph Multi –Dimensional Data Model (GMDDM), ,Object – Oriented Schema, Warehouse Designer, Software Layer, Software Tool, Graph Data Model. Introduction. A Data Warehouse as in [3] is a repository of subjectively selected and adapted operational data which can successfully answer any ad – hoc, statistical and analytical queries.
structured unstructured semi structured data

[DOC File]Introduction - Cornell University
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The OEM model [PGMW95] treats semi-structured data as a labeled digraph with one unique root. Each node in this graph is either a built in data type (possible leaf) or a node with edges to other nodes (internal node). Each edge in this model represents a relationship between nodes. The example at right shows how the XML example above might be ...
xml semi structured data

[DOC File]College of Engineering
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Dec 11, 2006 · This thesis develops a new user-extensible model for semi-structured data items. Each “tope” within this model defines how to recognize a kind of data item based on format and context, and how to transform that kind of item into other valid formats. To show the usefulness of this model, we provide an environment to help end user software ...
semi structured vs unstructured data

[DOC File]Indexing semi-structured
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It is constructed to exploit the symmetry of the data model with respect to the language given by a template T, and can be used to optimize queries on heterogeneous data. Introduction. I review here two articles that propose solutions to the problem of indexing XML semi-structured data.
semi structured data

[DOCX File]CHAPTER 5
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If accountants understand logical data structures and the logical view of the data, they are better able to manage, use, and audit a database and its data. 4.2. The relational data model represents data as being stored in tables. Spreadsheets are another tool that accountants use to employ a tabular representation of data.
what is semi structured data

[DOC File]Recommended Topics
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Other Issues could include the handling of multimedia and semi-structured data, translation of paper catalog into a Web database, DB design supporting user interface (navigation, hyperlinks, store layout, FAQ, helps, services, policies, shopping cart metaphor, …), schema and data evolution (category of products, naming, prices, …)
structured vs semi structured data

Semi structured data model