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Books > Computing & IT > Applications of computing > Databases > Data warehousing
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Master Data Management & Enterprise Engineering (Paperback)
Loot Price: R813
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Master Data Management & Enterprise Engineering (Paperback)
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It is in the context of maturity that one needs to read the book -
Master Data Management and Enterprise Engineering by Dr. M. Naoulo.
The world of technology has several related yet distinct approaches
- Martin's and Finklestein's information engineering, Ted Codd's
relational technology, Inmon's data warehouse, and others. This
book takes these approaches and others and does two important
things - it blends them together and it takes the bodies of thought
and turns them into an engineering approach. As such this book is
another important step in the evolution of computer science. This
is a next step in the maturation of computer science. I recommend
it to any serious student of computer science or to any serious
practitioner. =========== W.H. (Bill) Inmon. May 21, 2012.
=========== The book establishes the Fundamentals of design,
modeling, architecture, and management of Master, Transactional,
and Process Data and the Principles of Enterprise Engineering. The
book comprises innovative techniques and elegant approach and
design to address: > Master Data Management thru grouping and
classifying the Master Data in an innovative way that can be
implemented across the Enterprise Data Architecture: Central Data
Repository and Business and Enterprise Intelligence (BI & EI)
Data Marts. This data classification is based on the questions:
Why, How, Who, What, Where and When. > Separating the Master
Data, Transactional Data, and Process Data. This separation enables
the easiness in dealing with MDM, BI, and EI. The separation
approach enormously facilitates the mapping and propagation between
the Central Data Repository and the Business and Enterprise Data
Marts. >The basics and techniques of the design of the
Enterprise Engineering Model. This model supports the Transactional
Systems, Business Intelligence, Business Process Management,
Enterprise Intelligence, and Enterprise Engineering. >
Synchronization and Integration of Master, Transactional, and
Process Data across the enterprise: Legacy Systems, Central Data
Repository, and Business and Intelligence Data Marts. >
Assessing the different Enterprise Data Architectures. The first
part encompasses the Enterprise Data Framework and its new Modeling
Techniques. The Enterprise Data Framework illustrates and depicts
the Data Architecture across the enterprise covering the
integration and consolidation of the data of the Legacy Systems in
a Central Data Repository and the propagation of this data into the
Business and Enterprise Intelligence Data Marts. The Enterprise
Engineering Model presents a clear and concise illustration
depicting the Operational aspects of the Enterprise and their
relations to the Enterprise's needs. It includes: > Master Data
representing the main objects of an enterprise, > Transactional
Data detailing the results of transactions occurring in an
enterprise, and > Process Data capturing the data pertinent to
the activities of the functioning of an enterprise. The second part
encompasses the Enterprise Engineering Framework, Methodology,
Guidelines, Deliverables, and Techniques. It bestows the blueprint
of the functioning of enterprises. This part details the basics of
Enterprise Engineering and its implementation thru the processing
of the Enterprise Engineering Model. It provides the cost data
(materiel cost, labor cost, time) reflecting the functioning of the
Enterprise and point out the efficiency, performance, strengths,
and weaknesses of its operation. Detailed Case Studies are
presented supporting the theoretical aspect of Enterprise
Engineering. These Case Studies provide clear and practical
hands-on exercises reflecting the functioning of the Enterprises
and illustrating the implementation of Enterprise Engineering.
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