A relational query language interface to a hierarchical database management system

2003 ◽  
Author(s):  
C.-W. Ching ◽  
K.E. McCloskey
Keyword(s):  
Management System ◽  
Database Management ◽  
Query Language ◽  
Database Management System

MonogDB

2017 ◽  
pp. 64-91
Author(s):  
Sonali Tidke
Keyword(s):  
Management System ◽  
Database Management ◽  
Query Language ◽  
Database Management System ◽  
Management Model ◽  
Nosql Databases ◽  
Performance Indexes ◽  
And Behavior ◽  
Relational Database Management ◽  
Partitioning Technique

MongoDB is a NoSQL type of database management system which does not adhere to the commonly used relational database management model. MongoDB is used for horizontal scaling across a large number of servers which may have tens, hundreds or even thousands of servers. This horizontal scaling is performed using sharding. Sharding is a database partitioning technique which partitions large database into smaller parts which are easy to manage and faster to access. There are hundreds of NoSQL databases available in the market. But each NoSQL product is different in terms of features, implementations and behavior. NoSQL and RDBMS solve different set of problems and have different requirements. MongoDB has a powerful query language which extends SQL to JSON enabling developers to take benefit of power of SQL and flexibility of JSON. Along with support for select/from/where type of queries, MongoDB supports aggregation, sorting, joins as well as nested array and collections. To improve query performance, indexes and many more features are also available.

SQL Code Poisoning

2011 ◽  
pp. 161-171
Author(s):  
Theodoros Tzouramanis
Keyword(s):  
Anomaly Detection ◽  
Management System ◽  
Database Management ◽  
Query Language ◽  
Database Management System ◽  
Sql Injection ◽  
Database Administrator ◽  
Structured Query Language ◽  
Sql Injection Attack ◽  
Cross Site

Anomaly Detection; Cookie Poisoning; CRLF Injection Attack; Cross-Site Scripting (or CSS) Attack Database Administrator (DBA); Database Management System (DBMS); Database Structured Query Language (SQL); Directory Traversal Attack; Google Hacking Attack; Secrecy; Integrity; and Availability; SQL Code Poisoning (or SQL Injection) Attack

scholarly journals PENGERIAN DAN KOMPONEN SQL MUHAMMAD DENNY PRAYOGA 165100046

2018 ◽  
Author(s):  
Muhammad denny prayoga
Keyword(s):  
Relational Database ◽  
Management System ◽  
Database Management ◽  
Query Language ◽  
Database Management System ◽  
Relational Database Management System ◽  
Structured Query Language ◽  
Relational Database Management

Pengertian SQLSQL (Structured Query Language) adalah sebuah bahasa yang digunakan untuk mengakses data dalam basis data relasional.SQL secara de facto merupakan bahasa standar yang digunakan dalam RDBMS (relational database management system).Saat ini hampir semua server basis data yang ada mendukung bahasa SQL untuk melakukan manajemen datanya.SQL merupakan bahasa baku (ANSI/SQL), non prosedural dan berorientasi himpunan (set oriented language)SQL dapat digunakan baik secara interaktif atau ditempelkan (embedded) pada sebuah program aplikasi.

FROM SEMANTICOBJECTS TO SEMANTIC SOFTWARE ENGINEERING

2007 ◽  
Vol 01 (01) ◽  
pp. 11-28 ◽  
Author(s):  
PHILLIP C.-Y. SHEU ◽  
ATSUSHI KITAZAWA
Keyword(s):  
Software Engineering ◽  
Management System ◽  
Database Management ◽  
Query Language ◽  
Database Management System ◽  
Relational Algebra ◽  
Development Framework ◽  
Object Relational

One of the most important pieces of a database management system is its query language and the underlying algebra. This paper describes the query language of SemanticObjects, a development framework for object relational applications, and its associated object relational algebra. The paper also describes a semantic software engineering methodology that streamlines the development of object relational applications based on SemanticObjects.

scholarly journals Sistem Pendukung Keputusan Penentuan Tingkat Kecanduan Masyarakat Terhadap Rokok dengan Metode Fuzzy Mamdani

2021 ◽  
Vol 4 (1) ◽  
pp. 102-107
Author(s):  
Daniel Andre Marpaung ◽  
Murni Marbun
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Programming Language ◽  
Support System ◽  
Management System ◽  
Database Management ◽  
Sleep Disturbances ◽  
Query Language ◽  
Database Management System ◽  
Structured Query Language

A person's addiction to smoking can be seen from the characteristics of the cigarette addict, including: difficulty controlling the desire to smoke, high appetite, frequent coughing, sleep disturbances, and difficulty concentrating. A person's addiction to cigarettes can have a bad impact on the health of that person. The research used the Fuzzy Mamdani method. The system was built using the Hypertext Preprocessor (PHP) programming language. The database management system uses My Structured Query Language (MYSQL). The criteria for the level of community addiction to cigarettes are cost, smoking frequency, and the environment. This study aims to design a Decision Support System for determining the level of community addiction to smoking and applying the Fuzzy Mamdani method for determining the level of community addiction to cigarettes. So it can be concluded that the person's level of addiction is at number 13 or categorized as CANDU. 

scholarly journals PENGERTIAN DAN KOMPONEN SQL MUHAMMAD DENNY PRAYOGA 165100046

2018 ◽  
Author(s):  
Muhammad denny prayoga
Keyword(s):  
Relational Database ◽  
Management System ◽  
Database Management ◽  
Query Language ◽  
Database Management System ◽  
Relational Database Management System ◽  
Structured Query Language ◽  
Relational Database Management

Pengertian SQLSQL (Structured Query Language) adalah sebuah bahasa yang digunakan untuk mengakses data dalam basis data relasional.SQL secara de facto merupakan bahasa standar yang digunakan dalam RDBMS (relational database management system).Saat ini hampir semua server basis data yang ada mendukung bahasa SQL untuk melakukan manajemen datanya.SQL merupakan bahasa baku (ANSI/SQL), non prosedural dan berorientasi himpunan (set oriented language)SQL dapat digunakan baik secara interaktif atau ditempelkan (embedded) pada sebuah program aplikasi.

Design and Development of Web Module Based Biomedical Database Management System for Voluntary Health Services Multispecialty Hospital

2020 ◽  
Vol 22 (12) ◽  
Author(s):  
Jothiraj S ◽  
◽  
Dr.Jobin Christ M C ◽  
Dr. Yuvraj Gupta ◽  
◽  
...  
Keyword(s):  
Medical Devices ◽  
Preventive Maintenance ◽  
Management System ◽  
Database Management ◽  
Medical Equipment ◽  
Query Language ◽  
Database Management System ◽  
Medical Department ◽  
Data Set ◽  
Java Platform

A database is the data collection in a well-organized manner from which its content can easily be accessed, retrieved, managed and updated as per the requirements. A web module based biomedical database management system (BM-DBMS) is developed for Voluntary Health Service (VHS) Multispecialty hospital to assist them to manage the database on their own in real-time. The developed program is based on a data set of 348 medical equipment belonging to 15 departments in the hospital. The database of each medical device having a unique assigned asset number is included in the developed database management system. The web module is built on java platform. The user information runs on My structured query language (My SQL). The facility for the management of medical devices activities from initial log-in to maintenance services is provided. In this project, 3 login credentials namely admin, biomedical and nursing has been developed. The admin can add the asset names, equipment details, medical department, equipment serial number, warranty expiring date. Also, a dashboard to view the total asset, complaints raised, planned preventive maintenance (PPM) details are provided. The nursing staff can raise complaints and the biomedical engineer can view the complaint raised through their respective login.

Designing and Developing a Database Management System for Mosul University by Using Personal Home Page Language My Structured Query Language

2019 ◽  
Vol 16 (3) ◽  
pp. 1035-1038
Author(s):  
Alyaa Ghanim Suliaman ◽  
Taef Ghanim Hameed ◽  
Sufyan Salim Mahmood Aldabbagh ◽  
Khalid Abdulkareem Al-Enezi ◽  
Husain Yaser Alsafran
Keyword(s):  
Management System ◽  
Database Management ◽  
Query Language ◽  
Home Page ◽  
Database Management System ◽  
Structured Query Language

A Grammar Driven Data Translation System for Computer Integrated Manufacturing

1999 ◽  
Vol 124 (1) ◽  
pp. 136-142 ◽  
Author(s):  
Glen L. Niebur ◽  
Thomas R. Chase
Keyword(s):  
Data Sharing ◽  
Management System ◽  
Database Management ◽  
Query Language ◽  
Database Management System ◽  
Computer Integrated Manufacturing ◽  
Translation System ◽  
Integrated Manufacturing ◽  
Application Data ◽  
Data Files

The ability to share data among the numerous software applications used to design and analyze products is an important aspect of computer integrated manufacturing. In the past, data sharing has been implemented by direct translation of data files, through neutral data formats, and through central shared databases. This paper describes a data sharing architecture that addresses some of the limitations of these systems. It employs a database management system as a central repository for part data in an application independent format. A configurable translator, called Datatrans, is used to transfer data between the database management system and native application data files. In this way software from multiple independent vendors or legacy software can be supported, because applications need not incorporate code specific to any database management system nor have knowledge of the centralized database schema. The translator uses grammars to define and recognize the data to be translated. The grammar is augmented with commands that are passed to the front-end of the database management system or to application programs to store and retrieve data. Thus the query language and the application commands serve as a high level interface to the underlying database and application data files. Entity transformations that are beyond the scope of a grammatical description are performed by database methods, which are available to all applications. An implementation of the system demonstrates the feasibility of this approach.

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