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 Who This Book Is ForSystem developers including business
analysts database designers database administrators and application designers and developers
who must design or interact with database systems
