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In this short note, we shall briefly summarize this own follow-up research as well as the impact on research and practice, in the three areas of data quality, data warehouse process engineering, and automated model management. We end with some ongoing research questions and open challenges.
7 lis 2022 · This article presents a detailed overview of the roles of data warehouses and data lakes in modern enterprise data management. We detail the definitions, characteristics and related works for the respective data management frameworks. Furthermore, we explain the architecture and design considerations of the current state of the art.
1 sty 2023 · This paper presents a holistic perspective focusing on possible data warehouse architectures, data types, data schemes, storage, security and privacy in a healthcare environment. We discuss existing DW architectures dedicated to clinical data and suggest the best DW approaches for clinical data warehousing. Previous.
2 gru 2019 · In our study, we consider the generation and propagation of data quality problems from data sources to data warehouse and develop a model to find cost-effective data sources to optimize the data warehouse’s data quality.
7 lis 2022 · This article presents a detailed overview of the roles of data warehouses and data lakes in modern enterprise data management. We detail the definitions, characteristics and related works...
7 lis 2022 · The process of compiling information into a data warehouse is known as data warehousing. In enterprise data management, data warehousing is referred to as a set of decision-making systems targeted toward empowering the information specialist (leader, admin-istrator, or analyst) to improve decision making and make decisions quicker. Hence, DW
Relational Database Management Systems designed for Online An-alytical Processing (RDBMS-OLAP) have been foundational to de-mocratizing data and enabling analytical use cases such as business intelligence and reporting for many years. However, RDBMS-OLAP systems present some well-known challenges.
