Ph.D Guidance In Database

Data systems also provide necessary security to protect the data stored. Data is the raw facts that are fed in the computer. This data is processed by the hardware. The software is the interface between the hardware and user, by which the data will change into the information. This includes many types of users some of them are application programmer, end case users and DBA. An example of an advantage of database approach is that all of the data is located in one setting. This allows it to be controlled and maintained easily. The database can also be user friendly and promotes a good flow of the data.

One of the various advantages of data systems is that it allows remote logins. It also eases the problem for mobility because of number, allows sharing of research and other works and facilitates development of new applications program. Its obvious that database and its management system are in its peak of importance for application related purposes. Guidance for projects in database domain by S-LOGIX serves to be advantageous for the students in developing their keenness to work on them.

  • Research Proposal in Database
  • Problem Identification in Database
  • Research Methodology
  • Mathematical Model / Formulation
  • Literature Survey in Database
  • System Design and Implementation
  • Performance Analysis and Results
  • Writing Services: Journal Papers, Synopsis and Thesis


  • Ph.D – Computer Science and Engineering, Computer Science, Computer Application, Information Technology, Communication Networks and Wireless Communication
  • M.E/M.Tech/M.S – Computer Science and Engineering, Computer Science, Computer Application,¬†Information Technology, Communication Networks and Wireless Communication.

Related Area

  • Database Management Technologies
  • Database for Advanced Applications
  • Heterogeneous/Distributed/Mobile Databases
  • Temporal and Active Databases
  • Dynamic Databases
  • Semi-Structured and Xml-Able Database Systems
  • Method Engineering and Meta-Modelling
  • Big Data and Machine Learning; Data Warehousing/Mining
  • Database Models, Query Languages, Security, Integrity
  • Support for Virtual Teams, Mobile Collaboration
  • E-Business/M-Commerce Models and Architectures
  • Enterprise Systems and Supply Chain Integration
  • Web Databases, Web-Based Information Systems
  • Data Warehousing and Data Mining
  • Database Security and Integrity
  • E-Business and M-Commerce Models and Architectures

Tools and Technologies

  • Netbeans 7.0
  • Eclipse 4.3
  • Tomcat 7.0
  • Glass Fish 4.0
  • My-SQL 5.5
  • SQL-Server /MS-Access
  • Apache Axis2
  • ArgoUML
  • Java Database Connectivity (JDBC)
  • Swings
  • Collections
  • Java Networking
  • Java Server Pages (JSP)
  • Servlets
  • Java Security
  • Java Math