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العنوان
A Governance Framework for Auditing and Controlling Big Data in Cloud Computing Environment /
المؤلف
Mervat Helmy Hussein Ahmed,
هيئة الاعداد
باحث / Mervat Helmy Hussein Ahmed
مشرف / Sherif Abd-Elmeguid Mazen
مشرف / Iman Mohamed Atef Abdel-Azim Helal
مشرف / Mohamed Wagdy Youssef
الموضوع
Information Systems
تاريخ النشر
2022.
عدد الصفحات
240 p. :
اللغة
الإنجليزية
الدرجة
الدكتوراه
التخصص
Information Systems
تاريخ الإجازة
24/6/2022
مكان الإجازة
جامعة القاهرة - كلية الحاسبات و المعلومات - NFORMATION SYSTEMS
الفهرس
Only 14 pages are availabe for public view

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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