Usage-Driven Database Design, 1st ed. From Logical Data Modeling through Physical Schema Definition
Auteur : Tillmann George
- 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
- 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
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.
Presents a complete framework for database design success
Emphasizes the practical aspects of database design theory
Provides tips and techniques from decades of experience
Date de parution : 04-2017
Ouvrage de 374 p.
15.5x23.5 cm
Thème d’Usage-Driven Database Design :
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