By Farahdiba Abdullah
Currently, our government is still running big data workloads on various hardware installed on-premise. On-premise infrastructures create siloed management of server, storage and networks. Siloed management prevents government transformation because it would lead to operations complexity and lack of automation, this would subsequently to low consistency environment. These are some of the concerning area to tackle regards the dynamic nature of big data characteristics:
On-Premise is an extremely efficient way when the government want to handle big data of the citizens conveniently. Slow pace and inefficient delivery were prominent challenges to adapt with environmental changes. The government should address them through integration with hybrid cloud platform for adding capacity to the existing server. The information and applications are distributed across all the servers, which are connected to work as one. With these advancements, handling and analyzing big data within a reasonable time can be accomplished.
The benefits are not only to the government but for the citizens as well. For example, citizens are facing heavy congestion and hospital crowd every day. The availability of data sources from open big data platform will avoid time-wasting and reduce stress. The government needs to consider how to alleviate each of the problem via modern technology to deliver sustainable and efficient environment for citizens. Executing transformation in big data management is crucial to solve citizen’s problems and deliver satisfactory services.