A theoretical exploration of data management and integration in organisation sectors

Chisom E. Offia, Malcolm Crowe

Research output: Contribution to journalArticlepeer-review

128 Downloads (Pure)


Big data development is a disturbing issue that will affect enterprise across various sectors. The increase of data volume, high speed of data generation and increasing rate of different data from heterogeneous sources have led to difficulties in data management. This paper first reviews different aspects of big data management, including data integration and traditional data warehouse, and their associated challenges.

The problems include increase of redundant data, data accessibility, time consumption in data modelling and data movement from heterogeneous sources into a central database, especially in the big data environment. We then propose a logical data management approach using RESTview technology to integrate and analyse data, without fully adopting traditional ETL processes. Data that for governance, corporate, security or other restriction reasons cannot be copied or moved, can easily be accessed, integrated and analysed, without creating a central repository. Data can be kept in its original form and location, eliminating the movement of data, significantly speeding up the process and allowing for live data interrogation. It may not be the practical solution for every situation but, it is a feasible solution that is comparably cost effective.
Original languageEnglish
Pages (from-to)37-56
Number of pages20
JournalInternational Journal of Database Management Systems
Issue number1
Publication statusPublished - 28 Feb 2019


  • Big Data
  • Data Integration
  • Data warehouse
  • RESTView


Dive into the research topics of 'A theoretical exploration of data management and integration in organisation sectors'. Together they form a unique fingerprint.

Cite this