Design great databases—from logical data modeling through physical schema definition. You will learn a framework that demonstrates the missing link of merging data and process models into a meaningful and unified design that accounts for how data are actually used in production systems.
This book 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 of experience. Everything in the book is grounded on good theory, yet demonstrates a professional and pragmatic approach to design that can come only from much experience in the corporate trenches.
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 the thinking that is captured in that model with that from the process model describing how the data will be used in actual practice, once the system is implemented. 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, IMS, NoSQL, Hadoop, or any other DBMS.
- 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 Will 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.
System developers, including business analysts, database designers, database administrators, and application designers and developers who must design or interact with database systems
- ISBN: 978-1-4842-2721-3
- Editorial: Apress
- Encuadernacion: Rústica
- Fecha Publicación: 27/08/2017
- Nº Volúmenes: 1
- Idioma: Inglés