Usage-Driven Database Design: From Logical Data Modeling through Physical Schema Definition
Language: English
Published by Apress, 2017
- First Edition
- Softcover
- Used
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- Title
- Usage-Driven Database Design: From Logical Data Modeling through Physical Schema Definition
- Author
- Tillmann, George
- Publisher
- Apress
- Publication year
- 2017
- Condition
- Very Good
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1484227212
- ISBN 13
- 9781484227213
- Edition
- 1st Edition.
- Item weight
- 3 ounces
- Dimensions
- 97x14x148
- 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
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
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