Data Governance:: A conceptual framework in order to prevent your Data Lake from becoming a Data Swamp
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Information Security nowadays is becoming a very popular subject of discussion among both academics and organizations. Proper Data Governance is the first step to an effective Information Security policy. As a consequence, more and more organizations are now switching their approach to data, considering them as assets, in order to get as much value as possible out of it. Living in an IT-driven world makes a lot of researchers to approach Data Governance by borrowing IT Governance frameworks.The aim of this thesis is to contribute to this research by doing an Action Research in a big Financial Institution in the Netherlands that is currently releasing a Data Lake where all the data will be gathered and stored in a secure way. During this research a framework on implementing a proper Data Governance into the Data Lake is introduced.The results were promising and indicate that under specific circumstances, this framework could be very beneficial not only for this specific institution, but for every organisation that would like to avoid confusions and apply Data Governance into their tasks.
Place, publisher, year, edition, pages
2015. , 45 p.
Social Behaviour Law, Data Governance, Data Lake, Standards, Policies, Business, Risk and Compliance, IBM tooling, Hadoop. Data Integration Layer (DIL), Data Quality, Scrum, Agile Methods.
Samhälls-, beteendevetenskap, juridik
IdentifiersURN: urn:nbn:se:ltu:diva-46602Local ID: 438a3487-e940-490f-94aa-5ca90e7dcf60OAI: oai:DiVA.org:ltu-46602DiVA: diva2:1019917
Subject / course
Student thesis, at least 30 credits
Information Security, master's level
Validerat; 20151222 (global_studentproject_submitter)2016-10-042016-10-04Bibliographically approved