Version 1
: Received: 28 September 2023 / Approved: 29 September 2023 / Online: 3 October 2023 (03:28:55 CEST)
How to cite:
wong, B. Navigating the Data Architecture Landscape: A Comparative Analysis of Data Warehouse, Data Lake, Data Lakehouse, and Data Mesh. Preprints2023, 2023092113. https://doi.org/10.20944/preprints202309.2113.v1
wong, B. Navigating the Data Architecture Landscape: A Comparative Analysis of Data Warehouse, Data Lake, Data Lakehouse, and Data Mesh. Preprints 2023, 2023092113. https://doi.org/10.20944/preprints202309.2113.v1
wong, B. Navigating the Data Architecture Landscape: A Comparative Analysis of Data Warehouse, Data Lake, Data Lakehouse, and Data Mesh. Preprints2023, 2023092113. https://doi.org/10.20944/preprints202309.2113.v1
APA Style
wong, B. (2023). Navigating the Data Architecture Landscape: A Comparative Analysis of Data Warehouse, Data Lake, Data Lakehouse, and Data Mesh. Preprints. https://doi.org/10.20944/preprints202309.2113.v1
Chicago/Turabian Style
wong, B. 2023 "Navigating the Data Architecture Landscape: A Comparative Analysis of Data Warehouse, Data Lake, Data Lakehouse, and Data Mesh" Preprints. https://doi.org/10.20944/preprints202309.2113.v1
Abstract
In the rapidly evolving field of data management, numerous terminologies, such as data warehouse, data lake, data lakehouse, and data mesh , have emerged, each representing a unique analytical data architecture. However, the distinctions and similarities among these paradigms often remain unclear. The present paper aimed to navigate the data architecture landscape by conducting a comparative analysis of these paradigms. The analysis a identified and elucidated the differences and similari- ties in features, capabilities, and limitations of these architectural constructs. The study outcome serves as a comprehensive guide, assisting practitioners in selecting the most suitable analytical data architecture for their specific applications.
Keywords
Data, DWH, Data Warehouse, Architecture, Data Lake, Storage, Analysis, Data Mesh, Analytical, Architectural, Data Vault
Subject
Computer Science and Mathematics, Hardware and Architecture
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
