Information on the Leukemia patients is very crucial by keep track medical history and to know the current status of the patient's. This paper explains on development of Hematology Information System (HIS) in Hospital Universiti Sains Malaysia (HUSM). HIS is the web application, which is the enhancement of the standalone application system that used previously. The previous system lack of the implementation of security framework and triple 'A' elements which are authentication, authorization and accounting. Therefore, the objective of this project is to ensure the security features are implemented and the information safely kept in the server. We are using agile methodology to develop the HIS which the involvement from the user at the beginning until end of the project. The user involvement at the beginning user requirement until implemented. As stated above, HIS is web application that used JSP technology. It can only be access within the HUSM only by using the local Internet Protocol (IP). HIS ease medical doctor and nurse to manage the Leukemia patients. For the security purpose HIS provided password to login, three different user access levels and activity log that recorded from each user that entered the system

Advancements in internet, cloud, and business intelligence technologies, as well as the emergence of big data, have caused massive traffic in online transaction processing (OLTP) systems. All these impose the needs for effective and efficient data storage and processing which is not available in conventional Relational Database Management Systems (RDBMSs). In the year 2000, a new generation of database management systems (DBMSs) called Not Only Structured Query Language (NoSQL) has emerged to address the scalability of OLTP workloads in a way that was impossible for conventional relational database management systems (RDBMSs). Despite adequately addressing issues linked to scalability and producing better read-write performance than RDBMS, NoSQL DBMSs appear to lack in providing definite assurance of data consistency. Hence, a newer DBMS alternative called NewSQL has emerged. NewSQL DBMS has combined the advantages of both conventional RDBMS and NoSQL. They have the scalable performance of NoSQL DBMSs and the data consistency of traditional RDBMS. To date, there are tens of existing NewSQL-DBMSs, so it is difficult to understand the difference between them, and it is also quite challenging to decide the best solution for a specific task. Hence, this paper presents a comprehensive review concerning NewSQL DBMSs by emphasizing the following purposes:(1) providing researchers and practitioners guidance that may assist in selecting the most appropriate NewSQL-DBMS, (2) classifying NewSQL-DBMSs based on internal implantation and number of tiers, (3) providing comparisons and analyses of query capabilities, technical characteristics, and security attributes of the prominent NewSQL-DBMSs, and finally, (4) identifying issues and challenges raised with the emergence of NewSQL-DBMSs. In conclusion, NewSQL DBMSs can offers solutions for fault tolerance, horizontal scalability features.