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Data Lakehouse Architecture: The Evolution of Enterprise Data Management

Author

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  • Richa Solanki

    (Independent Researcher, USA)

Abstract

The Data Lakehouse Architecture represents a transformative evolution in enterprise data management, seamlessly integrating the robust features of traditional data warehouses with the flexibility of data lakes. This architectural paradigm addresses the growing challenges of managing both structured and unstructured data while enabling advanced analytics capabilities. By implementing sophisticated metadata management, optimized query processing, and comprehensive governance frameworks, organizations can achieve enhanced operational efficiency, improved data quality, and streamlined analytical capabilities. The architecture facilitates real-time processing, supports diverse workloads, and maintains stringent security controls, positioning it as a pivotal solution for modern enterprise data needs.

Suggested Citation

  • Richa Solanki, 2025. "Data Lakehouse Architecture: The Evolution of Enterprise Data Management," Journal of Computer Science and Technology Studies, Al-Kindi Center for Research and Development, vol. 7(6), pages 912-921, June.
    • Handle: RePEc:alk:jcsts0:v:7:y:2025:i:6:id:10119
    DOI: 10.32996/jcsts.2025.7.108
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