Abstract

This paper examines how Hadoop can improve the data governance processes in enterprises with reference specifically to compliance and data consistency in the present climate of data-led business. Due to the ever-improving organizational technologies and processes that gather a lot of information, it
has been deemed necessary for organizations to have structures that can follow
when it comes to governance. To that end, the research focuses on Hadoop as one of the potent frameworks for analyzing big data and its readiness to facilitate imitable strategies in data management. Challenges for big data One Data Indonesia identified in this study able to provide insight and future work direction through two case analyses: the Presidential Decree No. 39/2019 on One Data Indonesia and analyzing the big data governance in cybersecurity; the common challenges include complexity in integration, non-compliance with the rule of law, and employee resistance to change. In addition, it also indicates ideas for future development, like automation, more intensive analytical tools utilization, and collaboration between the departments. The study demonstrated that by implementing Hadoop solutions and applying extensive governance approaches, any organization can manage the challenges of data management issues and blend them with legal requirements and perimeters to unlock the values and escalate organizational decision-making and performance.

Keywords: Hadoop, Data governance, Compliance, Data integrity, Big data