الفهرس 
Chapter 1: IntroductionOnly 14 pages are availabe for public view
Abstract
This study aims to improve the storage performance of RDBMS systems in processing a variety of data. This thesis offers two approaches. The first approach proposes an appropriate representation of unstructured data storage. The second method proposes to use the (JSON) format to represent multivalued attributes and to represent the many to many (M: N) relation in relational databases to create a fluid schema and store semi-structured data. This thesis also includes details on how to implement the methodology. The results indicate that the proposed methods outperform similar methods and improve data storage performance, which helps maintain software stability in large organizations by optimizing existing software packages that can be too costly to replace. This thesis consists of five main chapters:
Chapter One: This chapter presents the motives behind presenting this message, the main problems of this message, and how this message contributes to solving these problems.
Chapter Two: includes a background on databases in terms of definition, objectives, types and stages of development. In this chapter, relational databases (RDB) and NoSQL databases are compared in terms of their respective characteristics.
Chapter Three: In this chapter, a new approach is proposed to improve the relational model in storing and retrieving unstructured data within relational data management systems and comparing the performance of the proposed approach with one of the non-relational data management systems.
Chapter Four: In this chapter, an approach is proposed to use JSON to store semi-structured data in relational databases. Presenting the results of the proposed approach in improving the relational model.
Chapter Five: summarizes the results, recommendations and future work.