Data Lake: Strategic Challenges for Small and Medium Sized Enterprises

Monika Sitarska-Buba , Ryszard Zygała


The main purpose of the chapter is to discuss the nature of analytical systems based on data lake architecture and their abilities to support different business objectives. In software engineering, empirical methods play a significant role in order to reach research objectives (Wohlin et al. in Empirical methods and studies in software engineering. Springer, Berlin, 2013 [1]). We decided to examine the proposed ideas using a prototyping approach. Software prototypes can be perceived as design artefacts and they can support creativity, communication and early evaluation (Beaudouin-Lafon and Mackay in Human computer interaction handbook: fundamentals. CRC Press, 2007 [2]). Prototyping can be a good way to merge this process with agile principles (Böhmer et al. in Proceedings of the 21st international conference on engineering design (ICED 17). Designmethods and tools. The Design Society, Vancouver, 2017 [3]; Tanvir et al. in International conference on engineering, computing & information technology (ICECIT 2017), pp. 50–54, 2017 [4]). This research method has been applied in the chapter, and the final prototype of a light data lake (LDL) is presented in the third section. Additionally, the authors present maturity level modeling as a supported process to implement LDL in SME organizations. The last section describes the maturity model that was achieved by the LDL prototype
Author Monika Sitarska-Buba (BM / DISD)
Monika Sitarska-Buba,,
- Department of Information Systems
, Ryszard Zygała (BM / DISD)
Ryszard Zygała,,
- Department of Information Systems
Publication size in sheets0.85
Book Hernes Marcin, Rot Artur, Jelonek Dorota: Towards Industry 4.0 — Current Challenges in Information Systems, Studies in Computational Intelligence, no. 887, 2020, Springer, ISBN 9783030404161, [9783030404178], 266 p., DOI:10.1007/978-3-030-40417-8
Hernes_Rot_Jelonek_4.0_Current_Challenges.pdf / No licence information (file archived - login or check accessibility on faculty)
Keywords in EnglishData Lake, Light Data Lake Architecture, Phyton, Jupiter Notebook, Maturity Model, Small Medium Enterprise
Languageen angielski
Sitarska_Buba_Zygala_Data_Lake-Strategic_Challenges.pdf 382,82 KB
Score (nominal)20
Score sourcepublisherList
Citation count*
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UwagaThe project is financed by the Ministry of Science and Higher Education in Poland under the programme “Regional Initiative of Excellence” 2019–2022 project number 015/RID/2018/19 total funding amount 10,721,040.00 PLN.
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