METADATA MANAGEMENT FRAMEWORK FOR BUSINESS INTELLIGENCE DRIVEN DATA LAKES

Authors

Keywords
data lake, metadata, metadata management, data lake architecture, conceptual metadata framework.

Abstract
Data lakes (DL) provide powerful capabilities for processing and utilizing large and diverse data, helping organizations adapt to the modern environment and extract maximum value from the information at their disposal. Effective data analysis provides actionable knowledge which is a competitive advantage for organizations. Metadata management in data lakes is a key element in ensuring their full functionality. At the same time, this is a dynamic and under-researched area that reflects the rapid development of information technology and the business needs for effective data management. The research is based on a thorough scientific analysis of existing publications on the chosen topic. For this purpose, up-to-date and relevant open access publications from Scopus and Web of Science that correspond to the keywords "data lake" and "metadata" are identified and are from the last 15 years. Based on a review of the existing literature, the main challenges in data lake metadata management are highlighted. The goal of the research is to summarize the existing models in the field of metadata management in data lakes and to propose a new conceptual framework that can serve as a useful guide for designing and implementing metadata management models in heterogeneous data warehouses, as well as implementation steps. The concept's adoption involves a detailed study of the data management model in a specific organization, a measurement of the level of effectiveness after the model’s implementation, and the use of additional metrics to confirm its feasibility. These tasks are therefore the subject of future research. Another limitation of the proposed framework is that it does not address in depth the rules and standards related to ensuring data security, which would be of the highest priority especially in sectors such as finance, defence and healthcare. In addition, further research could also focus on future analysis of the level of satisfaction with the transformation of metadata management processes.

JEL: C8.
Pages: 21

To view the full text of the article click on the relevant button below.

More titles

  • FORMATION OF THE POST-PANDEMIC BUSINESS ENVIRONMENT IN GEORGIA: CHALLENGES AND PREDICTIONS

    The COVID 19 pandemic has transformed the entire world's strategy. The governmental oversight, fundamental and significant views were renewed and prioritized according to the unpredictable pandemic process and force-majeure demand. The world's governments and private sectors have faced new socio-political and economic problems and challenges that ...

  • MEASURES TO BALANCE THE LABOUR MARKET: AN INSTITUTIONAL PARTNERSHIP BETWEEN BUSINESS AND THE VOCATIONAL TRAINING SYSTEM

    The study aims to identify imbalances, obstacles and opportunities for realizing the capacity of institutional partnership between employers and vocational education institutions (the case of Lviv region in Ukraine) to balance the labour market. The study is based on the general scientific methods of research – analysis, synthesis, logical ...

  • THE IMPACT OF REVIEW AND RATING ON CUSTOMER EXPERIENCE IN ELECTRONIC MARKETPLACES

    With the proliferation of e-commerce, online marketplaces have become a dominant platform for consumer purchases. However, the factors driving positive customer experiences in these digital environments remain underexplored. This quantitative study investigates how online reviews and ratings influence customer experience in e-marketplaces. A ...