9
Select types of Version Metadata
An option to follow this decision involves selecting necessary metadata types, which include an adequate version granularity. Versioning could be either settle on model element level or on the model.
10
Select Change Log of Metadata Types
With reference to the decision of selecting version metadata, an architect needs to decide whether to add change log metadata to either the model element of the model level.
11
Select types of Security Metadata
An Architect could choose among several security options. An architect needs to choose mechanisms to protect the whole repository.
12
Select Life Cycle of the Metadata Types
An Architects can choose a life cycle manager which can determine if a requested action could be allowed on the current state
13
Select Association Mode
This decision involves dealing with whether to use a general association model or model relationships within the domain models. (Lloyd et al. 2008).
Apart from the architectural design of repository metadata, the components of repository software are very critical for effective and efficient repository metadata. As being revealed in the fig 1, the repository software components consist of:
Engine
Form builder
Generator
Application
Fig 1: Components of Repository Software
Engine: The engine allows the interface to be integrated with the repository easily, which allows data to be easily accessed from the software products such as Rational Rose (for UML views), Microsoft Word (for reports), TestRunner (automatic testing), ClearCase (configuration control), Mercury Internet Explorer and others. The engine also maintains cache created documents, which could be used to minimize the use of XML parsing and analysis, as well as indexing the names and physical locations of all kinds of documents.
Forms Builder: The form builder creates the visual form that has ability to edit and display the document. Since the form...
Database Differentiation Description of the data models A detailed description of all the tables that a database consists of is referred to as a data dictionary. A data dictionary will contain all the attribute characteristics and names for every table found within a database system. A data dictionary can also be referred to as a metadata repository. This is because it contains information like relationships with other data, meaning, usage, format, and
Miller Inc. is a company that wishes to develop a new and more efficicent data repository for all data collected, stored, and transferred. Their desire to create a data warehouse that operates quickly with less effort is the purpose of this project. Adaptation of database modeling along with designing their data warehouse will lead to higher consumer and employee satisfaction. The project goal is to create a database schema to
When a submitter submits information, it is transformed into a data file or bitstream, which is organized into a similar data set. The item is then grouped with similar items into metadata, and is indexed for searching. Communities are then created that correspond to specific parts of an organization, such as departments. This allows DSpace to function well in multi-disciplinary environments. The end user is then able to browse,
DBMS and Data Warehouses (1) in this writing assignment, you will create a brochure advertising your services as a data repository. Powered By Excellence Data Repository Service Powered By Excellence is the only data repository service with globally-located data centers across each continent, each with specific security, reliability and fault redundancy systems in place. Our staff includes world-class experts on the following platforms: IBM, Microsoft, Oracle, MySQL, Informix, Sybase, Teradata and SAS expertise in-house as
Data Warehousing Data Warehouse technology has changed the way that global organizations conduct business. Many have found it impossible to create a business strategy without a data warehouse. The purpose of this discussion is to research and explain the importance of data warehouse management. We will begin by defining data warehouse and describing the business uses for the technology. Our discussion will then focus of data warehouse management. We will examine the
Queries are posed in terms of a certain query language over the alphabet of the global ontology and are intended to extract a set of tuples of elements of the semantic domain. In accordance with what is typical in databases, each query is required to have an associated arity and that it extract only tuples of that arity. Given a source database for O, the tuples of interest are
Our semester plans gives you unlimited, unrestricted access to our entire library of resources —writing tools, guides, example essays, tutorials, class notes, and more.
Get Started Now