ZAMREN Big Data Management (ZAMBiDM) Envisaging Efficiency and Analytically Manage IT Resources
Copperbelt University, Zambia
The ZAMREN member institutions deal with heterogeneous teaching and research materials drawn from all walks-of-life such as industry, and NRENs world over. To deal with such huge data that is in terabits for academic and economic gain becomes a mammoth task to manipulate, process, store and analyse. It is in view of that the ZAMREN Big Data and Data Management, in this work abbreviated as ZAMBiDM, is envisaged to collectively gather relevant heterogeneous large volumes of a wide variety of data from all sectors of economy. The data would be analytically managed in storage, processing and obtaining actionable insight real-time as a way to solve high-value skilled academic and industrial business problems, in order to prepare graduates for competitive future workforce. The data would be collected from all line-ministries of Zambia such as education, agriculture, health, mining, lands, communications, commerce, including industries and NRENs worldwide and be analytically analysed to exploit strategic actions that would enhance decision making in executing relevant tasks.
The ZAMREN Big Data and Data Management, in this work abbreviated as ZAMBiDM, is envisaged with the capacity to handle the heterogeneous large volumes of data drawn from all sectors of economy, including the NRENs worldwide. The proposed ZAMBiDM is demonstrated in Figure 1 as model scale-out architecture with capacity to handle the four “V’s”, these are volume, variety, velocity, variability and complexity. The model has strategically built-in components that would accelerate processing of ZAMREN Big Data. These components include the ZAMREN Big Data and Management which would deal with the institutions Big Data process it to achieve business and technological goals. Surrounding it is the virtualisation which whittles down Big Data and reduces its sprawling bulk to manageable size. This is followed by a series of strategy components that are linked to the operational nodes.