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

Author(s):  
Mansaf Alam
Big Data ◽  
2016 ◽  
pp. 1495-1518
Author(s):  
Mohammad Alaa Hussain Al-Hamami

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.


2013 ◽  
Vol 5 ◽  
pp. 194-199 ◽  
Author(s):  
Bashir Alam ◽  
M.N. Doja ◽  
Mansaf Alam ◽  
Shweta Mongia

2016 ◽  
Vol 4 (2-4) ◽  
pp. 199-207
Author(s):  
Shweta Malhotra ◽  
Mohammad Najmud Doja ◽  
Bashir Alam ◽  
Mansaf Alam

Author(s):  
Mohammad Alaa Hussain Al-Hamami

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.


1996 ◽  
Vol 35 (01) ◽  
pp. 52-58 ◽  
Author(s):  
A. Mavromatis ◽  
N. Maglaveras ◽  
A. Tsikotis ◽  
G. Pangalos ◽  
V. Ambrosiadou ◽  
...  

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.


Sign in / Sign up

Export Citation Format

Share Document