BOOK-CHAPTER

Bridging Relational and NoSQL Worlds

Year: 2017 Advances in data mining and database management book series Pages: 282-310   Publisher: IGI Global

Abstract

The chapter presents a real case study of the integration of relational and NoSQL databases. The example of a real project related to vehicle registration, particularly to testing vehicles for compliance with environmental standards, explains how those two worlds can be integrated. Oracle database is used as a relational database, while MongoDB is used as NoSQL database. The chapter sustains that the COMN notation can be successfully used in the process of modeling both relational and nonrelational data. All three ways of integration of relational and NoSQL databases are tested. The native solution was tested by using of native drivers for communication with Oracle and MongoDB databases. The hybrid solution used a Unity product. The reducing-to-one option, in this case, SQL, was tested on Oracle database. The capabilities of Oracle 12c database to work both with relational and nonrelational data by using SQL were tested.

Keywords:
NoSQL SQL Relational database Oracle Computer science Database Semi-structured data Relational database management system Notation Database model XML database Null (SQL) World Wide Web XML Programming language Mathematics Scalability

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Topics

Advanced Database Systems and Queries
Physical Sciences →  Computer Science →  Computer Networks and Communications
Data Management and Algorithms
Physical Sciences →  Computer Science →  Signal Processing
Service-Oriented Architecture and Web Services
Physical Sciences →  Computer Science →  Information Systems

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