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Big data is emerging as one of the most important crucial issues in the modern world. Most studies mention that a relational database cannot handle big data. This challenge has led to the presentation of the not only structured query language (NoSQL) database as a new concept of database technology. NoSQL supports large volumes of data by providing a mechanism for data storage, retrieval and more flexible than a relational database. One of the most powerful types of NoSQL database is the document-oriented database. Recently, many software developers are willing to migrate from using relational databases to NoSQL database because of scalability, availability, and performance. The document-oriented database has challenged as to how to obtain an appropriate schema for the document-oriented database. The existing approach to migrate a relational database to a document-oriented database does not consider all the properties of the former, especially on how to handle various types of relationships. This research proposed a flexible schema for a document-oriented database (SDOD). This study evaluated the development of agility based on the schema of a document-oriented database and query execution time. The evaluation verifies the reliability of the proposed schema.

A Flexible Schema for Document Oriented Database (SDOD)