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Usage-Driven Database Design: From Logical Data Modeling through Physical Schema Definition - Tapa blanda
Sinopsis
Design great databases-from logical data modeling through physical schema definition. You will learn a framework that finally cracks the problem of merging data and process models into a meaningful and unified design that accounts for how data is actually used in production systems.
Key to the framework is a method for taking the logical data model that is a static look at the definition of the data, and merging that static look with the process models describing how the data will be used in actual practice once a given system is implemented. The approach solves the disconnect between the static definition of data in the logical data model and the dynamic flow of the data in the logical process models.
The design framework in this book can be used to create operational databases for transaction processing systems, or for data warehouses in support of decision support systems. The information manager can be a flat file, Oracle Database, IMS, NoSQL, Cassandra, Hadoop, or any other DBMS.
Usage-Driven Database Design emphasizes practical aspects of design, and speaks to what works, what doesn't work, and what to avoid at all costs. Included in the book are lessons learned by the author over his 30+ years in the corporate trenches. Everything in the book is grounded on good theory, yet demonstrates a professional and pragmatic approach to design that can come only from decades of experience.
- Presents an end-to-end framework from logical data modeling through physical schema definition.
- Includes lessons learned, techniques, and tricks that can turn a database disaster into a success.
- Applies to all types of database management systems, including NoSQL such as Cassandra and Hadoop, and mainstream SQL databases such as Oracle and SQL Server
What You'll Learn
- Create logical data models that accurately reflect the real world of the user
- Create usage scenarios reflecting how applications will use a new database
- Merge static data models with dynamic process models to create resilient yet flexible database designs
- Support application requirements by creating responsive database schemas in any database architecture
- Cope with big data and unstructured data for transaction processing and decision support systems
- Recognize when relational approaches won't work, and when to turn toward NoSQL solutions such as Cassandra or Hadoop
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
George Tillmann is a retired Booz, Allen Hamilton partner; a former programmer, analyst, management consultant; and CIO who managed Booz Allen’s global IT organization. He brings more than 30 years experience as a database administrator, database consultant, and database product designer. He has written two books, was a Computerworld columnist, and has articles published in CIO, Infoworld, Techworld, Data Base, The Standard, Database Programming & Design and is a former member of the ANSI/X3/SPARC Data Base Systems Study Group.
De la contraportada
Design great databases from logical data modeling through physical schema definition. You will learn a framework that finally cracks the problem of merging data and process models into a meaningful and unified design that accounts for how data is actually used in production systems.
Key to the framework is a method for taking the logical data model that is a static look at the definition of the data, and merging that static look with the process models describing how the data will be used in actual practice once a given system is implemented. The approach solves the disconnect between the static definition of data in the logical data model and the dynamic flow of the data in the logical process models.
The design framework in this book can be used to create operational databases for transaction processing systems, or for data warehouses in support of decision support systems. The information manager can be a flat file, Oracle Database, IMS, NoSQL, Cassandra, Hadoop, or any other DBMS.
Usage-Driven Database Design emphasizes practical aspects of design, and speaks to what works, what doesn t work, and what to avoid at all costs. Included in the book are lessons learned by the author over his 30+ years in the corporate trenches. Everything in the book is grounded on good theory, yet demonstrates a professional and pragmatic approach to design that can come only from decades of experience.
- Presents an end-to-end framework from logical data modeling through physical schema definition.
- Includes lessons learned, techniques, and tricks that can turn a database disaster into a success.
- Applies to all types of database management systems, including NoSQL such as Cassandra and Hadoop, and mainstream SQL databases such as Oracle and SQL Server
"Sobre este título" puede pertenecer a otra edición de este libro.
- EditorialApress
- Año de publicación2017
- ISBN 10 1484227212
- ISBN 13 9781484227213
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de edición1
- Número de páginas400
- Contacto del fabricanteno disponible
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Usage-Driven Database Design: From Logical Data Modeling through Physical Schema Definition
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Apress, 2017
ISBN 10: 1484227212
ISBN 13: 9781484227213
Antiguo o usado
Soft cover
Original o primera edición
Librería: bmyguest books, Toronto, ON, Canada
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Soft cover. Condición: Very Good. 1st Edition. The Pages Inside Are Clean With No Remarks Or Highlights. 374 Pages With The Index. Soft Cover, In Very Good Condition.books are NOT signed. We will state signed at the description section. we confirm they are signed via email or stated in the description box. - Specializing in academic, collectiblle and historically significant, providing the utmost quality and customer service satisfaction. For any questions feel free to email us. Nº de ref. del artículo: X43931x
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