الفهرس | Only 14 pages are availabe for public view |
Abstract Big Data has delivered a rich content of datasets that represents valuable wealth to any organization if treated properly. To effectively manage big data and maximize its value delivery, big data needs governance, to gain control over big data utilization. It is of utmost importance to efficiently and effectively govern big data following agreed-upon policies and standards, which is a prerequisite to be able to derive information that assists in decision-making processes. Furthermore, with the recent advances in cloud computing and its increased adoption, big data governance has gained growing interest. However, in a cloud computing environment, challenges are materialized in the reality that control over the big data management is moved from its owners to other parties. Accordingly, such loss of control over hosted data can lead to the difficulty of complying with the security measures, causing a lack in confidentiality and integrity of data, and a DROP in the performance and quality of service delivered. And so, there is a need to govern big data in the cloud environment through consistent mechanisms that afford appropriate internal controls. In this research, a governance framework for auditing big data in a cloud environment is presented. The framework provides necessary internal governance controls that run through a big data governance program across various big data management areas in a cloud environment and for on-premise data. It will be supported by a big data management maturity model that enables organizations to depict the state of big data management capabilities before encountering governance, and to decide on necessary improvement measures. The framework was validated in a real-life case study, in which a set of internal controls were defined across a set of big data management areas. These controls acted as countermeasures to offer oversight over big data assets and deliver an effective big data management state |