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
03 May 2019 - 14:29
20 min ago
22 min ago
27 min ago