Chapter 6
Working with a NoSQL DMBS
IN THIS CHAPTER
Understanding hierarchical data
Using hierarchical datasets
Considering other forms of hierarchical data
The previous chapter talks about the inordinate amount of organization surrounding Relational Database Management Systems (RDBMSs). In fact, authors write huge tomes about the topic, yet no one resource manages to communicate just how organized these databases are. The hierarchical database is quite the opposite in terms of organization. It isn’t untidy by any means; it always knows which pile contains the data it has on hand. Still, sometimes the viewer wonders about it all at first glance. Yet, you often need a hierarchical form of data storage, such as the Not Only SQL (NoSQL) database, to store the chaotic information of the real world in a manner that would elude the RDBMS. That type of storage capability is what this chapter considers.
Books 3 and 4 of this minibook give you the underpinnings and simplified techniques of hierarchical data storage in the form of trees, graphs, and XML. You could add JavaScript Object Notation (JSON) (see Chapter 1 of this minibook for an overview of JSON as a raw data storage methodology) ...
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