Data lakes versus data warehouses: choosing the right approach for big data analytics

In the era of big data, organizations face critical decisions when selecting between data lakes and data warehouses to meet their analytics requirements. This article presents a comprehensive comparative analysis of these two predominant data management architectures, emphasizing their structural di...

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Veröffentlicht in:	Journal of Electrical Systems and Information Technology Jg. 12; H. 1; S. 89 - 21
Hauptverfasser:	Mezzoudj, Saliha, Khelifa, Meriem, Saadna, Yassmina
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2025 Springer Nature B.V SpringerOpen
Schlagworte:	Architecture Artificial Intelligence Big Data Big data analytics Blockchain Business analytics Business intelligence software Case studies Comparative analysis Cost analysis Data analysis Data lake Data management Data warehouse Data warehouses Decision making Design Edge computing Electrical Engineering Electrical Machines and Networks Engineering Hadoop Information Systems and Communication Service Lakehouse architecture Machine learning Management information systems Mechanical Engineering Organizations Power Electronics Quantum computing Relational data bases Review Structured data Technological change Trends Unstructured data Cloud computing Scalability Hadoop Data lake Kafka Big data analytics Data governance Business intelligence Data management Lakehouse architecture Spark Cost-effectiveness Artificial intelligence Data warehouse
ISSN:	2314-7172, 2314-7172
Online-Zugang:	Volltext
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