ПОРІВНЯННЯ КЕРОВАНИХ РІШЕНЬ ТА DIY-ПІДХОДУ У СТРАТЕГІЇ ІНТЕГРАЦІЇ ДАНИХ DATA LAKEHOUSE
Ключові слова:
Керовані рішення, управління даними, DIY-підхідАнотація
The paper provides a comprehensive comparative analysis of Data Lakehouse implementation strategies, focusing on managed cloud solutions versus a Do-It-Yourself (DIY) approach using open-source technologies. Managed platforms offer quick deployment and ease of use but may lead to vendor lock-in and high long-term costs. In contrast, DIY solutions offer greater control, flexibility, and cost predictability but require more technical expertise and maintenance effort. The analysis highlights that managed solutions are well-suited for organizations seeking rapid implementation with minimal internal overhead. Meanwhile, DIY architectures allow for fine-grained customization and technological independence, particularly valuable in complex business contexts. However, DIY setups demand significant investment in skilled personnel and integration efforts. The study outlines the trade-offs between these approaches and emphasizes that the optimal choice depends on organizational needs, budget, and team capabilities.
Посилання (Бібліографія)
The Potential of the Data Lakehouse // Raconteur. – 2024. – [Електронний ресурс]. – Режим доступу: https://www.raconteur.net/technology/the-potential-of-the-data-lakehouse (дата звернення: 15.05.2025).
Vercellone-Smith P., Basha E., Zeigler D., Grier M. From Traditional Data Warehouses to Lakehouse Architectures: Tackling Modern Data Challenges. – [Електронний ресурс]. – Режим доступу:https://www.researchgate.net/publication/388991438_From_Traditional_Data_Warehouses_to_Lakehouse_Architectures_Tackling_Modern_Data_Challenges (дата звернення: 16.05.2025).
Hassan I. Storage structures in the era of big data: from data warehouse to lakehouse // Journal of Theoretical and Applied Information Technology. – 2024. – Т. 102. – № 6. – [Електронний ресурс]. – Режим доступу: https://www.jatit.org/volumes/Vol102No6/16Vol102No6.pdf (дата звернення: 17.05.2025).
