scholarly journals Cloud Algebra for Handling Unstructured Data in Cloud Database Management System

2012 ◽  
Vol 2 (6) ◽  
pp. 35-42 ◽  
Author(s):  
Mansaf Alam
Keyword(s):  
Management System ◽  
Database Management ◽  
Database Management System ◽  
Unstructured Data ◽  
Cloud Database

The Impact of Big Data on Security

Big Data ◽  
2016 ◽  
pp. 1495-1518
Author(s):  
Mohammad Alaa Hussain Al-Hamami
Keyword(s):  
Social Media ◽  
Big Data ◽  
Management System ◽  
Database Management ◽  
Database Systems ◽  
Structured Data ◽  
Database Management System ◽  
Unstructured Data ◽  
And Behavior ◽  
The Impact

Big Data is comprised systems, to remain competitive by techniques emerging due to Big Data. Big Data includes structured data, semi-structured and unstructured. Structured data are those data formatted for use in a database management system. Semi-structured and unstructured data include all types of unformatted data including multimedia and social media content. Among practitioners and applied researchers, the reaction to data available through blogs, Twitter, Facebook, or other social media can be described as a “data rush” promising new insights about consumers' choices and behavior and many other issues. In the past Big Data has been used just by very large organizations, governments and large enterprises that have the ability to create its own infrastructure for hosting and mining large amounts of data. This chapter will show the requirements for the Big Data environments to be protected using the same rigorous security strategies applied to traditional database systems.

scholarly journals 5-Layered Architecture of Cloud Database Management System

2013 ◽  
Vol 5 ◽  
pp. 194-199 ◽  
Author(s):  
Bashir Alam ◽  
M.N. Doja ◽  
Mansaf Alam ◽  
Shweta Mongia
Keyword(s):  
Management System ◽  
Database Management ◽  
Database Management System ◽  
Layered Architecture ◽  
Cloud Database

Cloud Database Management System security challenges and solutions: an analysis

2016 ◽  
Vol 4 (2-4) ◽  
pp. 199-207
Author(s):  
Shweta Malhotra ◽  
Mohammad Najmud Doja ◽  
Bashir Alam ◽  
Mansaf Alam
Keyword(s):  
Management System ◽  
Database Management ◽  
System Security ◽  
Database Management System ◽  
Security Challenges ◽  
Cloud Database

The Impact of Big Data on Security

2015 ◽  
pp. 276-298 ◽  
Author(s):  
Mohammad Alaa Hussain Al-Hamami
Keyword(s):  
Social Media ◽  
Big Data ◽  
Management System ◽  
Database Management ◽  
Database Systems ◽  
Structured Data ◽  
Database Management System ◽  
Unstructured Data ◽  
And Behavior ◽  
The Impact

Big Data is comprised systems, to remain competitive by techniques emerging due to Big Data. Big Data includes structured data, semi-structured and unstructured. Structured data are those data formatted for use in a database management system. Semi-structured and unstructured data include all types of unformatted data including multimedia and social media content. Among practitioners and applied researchers, the reaction to data available through blogs, Twitter, Facebook, or other social media can be described as a “data rush” promising new insights about consumers' choices and behavior and many other issues. In the past Big Data has been used just by very large organizations, governments and large enterprises that have the ability to create its own infrastructure for hosting and mining large amounts of data. This chapter will show the requirements for the Big Data environments to be protected using the same rigorous security strategies applied to traditional database systems.

Cardiological Database Management System as a Mediator to Clinical Decision Support

1996 ◽  
Vol 35 (01) ◽  
pp. 52-58 ◽  
Author(s):  
A. Mavromatis ◽  
N. Maglaveras ◽  
A. Tsikotis ◽  
G. Pangalos ◽  
V. Ambrosiadou ◽  
...  
Keyword(s):  
Management System ◽  
Database Management ◽  
Medical Information ◽  
Object Oriented ◽  
Medical Personnel ◽  
Database Management System ◽  
Ease Of Use ◽  
Medical Database ◽  
Analysis And Design ◽  
Object Oriented Design

AbstractAn object-oriented medical database management system is presented for a typical cardiologic center, facilitating epidemiological trials. Object-oriented analysis and design were used for the system design, offering advantages for the integrity and extendibility of medical information systems. The system was developed using object-oriented design and programming methodology, the C++ language and the Borland Paradox Relational Data Base Management System on an MS-Windows NT environment. Particular attention was paid to system compatibility, portability, the ease of use, and the suitable design of the patient record so as to support the decisions of medical personnel in cardiovascular centers. The system was designed to accept complex, heterogeneous, distributed data in various formats and from different kinds of examinations such as Holter, Doppler and electrocardiography.

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