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lease select from the following categories:
Data Architecture
What is data architecture?
Answer: A data architecture identifies (1) the organization and components of its
data and information assets, (2) the guidelines a company follows in assembling data and information assets, (3) the procedures and principles that inform the
design and usage of data and information assets and (4) the hardware and software that make up the infrastructure that enables architectural work. Data
architecture containing these components helps systems professionals and business people as they plan, design, develop and deploy business applications by
providing the best available information about how to carry out these tasks with an eye to quality.
What is the difference between data architecture and data management?
Answer: Data architecture is about planning and building for the future; data
management is to carry out data architecture by supporting while improving current state. Implementation of the data architecture requires creation of data
models consistent with data architecture guidelines, the use of data models to design databases, the creation and use of metrics to guarantee data quality
defined in the architecture, the construction of shareable reference database for data subject areas common to multiple business processes as identified in a data
architecture, and so on. A data architecture provides information about what needs to be done, how it needs to be done, and when it should be done. Data
Management identifies the work of a group of people whose task it is to implement a data architecture. Data Architecture identifies the work of a group of people
whose task it is to come up with a comprehensive, detailed, business-wide plan for achieving business goals related to data and information.
How does data architecture fit in the overall IT architecture?
Answer: An IT architecture is the long-term blueprints for Business, Data,
Component and Technical Architecture and initiate/coordinate immediate improvements to Business- and Technology-based processes. The Business
Architecture is an IT view of what the business is like, how it is structured, how it works, what products it makes and sells, and so on. This architecture aims to
provide a comprehensive view of all business functions and process flows, one that business management would find correct and complete. The Data Architecture
depicts the data and information assets of the business as they relate to the Business Architecture. The Component Architecture depicts the software
applications and software systems that support the components identified in the Business Architecture. The Technical Architecture depicts the IT assets, including
networks, software, hardware, equipment, and other technical apparatus needed to support the components identified in the Business Architecture.
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Meta Data
What is meta data?
Answer: Meta data is information about data. In this sense, meta data is the documentation that establishes the meaning, purpose, quality, and characteristics
of a company's data assets. Meta data is the semantics of data. In effect, meta data is any information about the design or structure of IT systems that a data
architect has to know about and that other systems professionals and business people may want to know about in order to understand any part of the data asset.
Put another way, meta data is data about systems objects and their relationships. As "Data", , then, meta data is itself the object of data architecture and data
management as well as being, at least in part, the product of data architecture and data management.
Business Rules
What is the difference between a business rules engine and a business rules repository?
Answer: A business rules repository stores and manages all the rules for the purpose of organizing the rules. A business rules
engine, on the other hand, processes the rules at run time to carry out business logic in an computerized application.
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