Optimizing Data Lakehouse Architectures for Large-Scale Analytics

Author(s)	Santosh Vinnakota
Country	United States
Abstract	The evolution of data architectures has led to the emergence of the data lakehouse, a hybrid model that combines the scalability of data lakes with the performance and governance capabilities of data warehouses. This paper explores best practices for implementing and maintaining a scalable, efficient lakehouse architecture, addressing key design considerations such as storage formats, metadata management, and query optimization.
Keywords	Data Lakehouse, Hybrid Data Architecture, Cloud Computing, Metadata Management, Query Optimization
Field	Engineering
Published In	Volume 14, Issue 1, January-June 2023
Published On	2023-01-05
Cite This	Optimizing Data Lakehouse Architectures for Large-Scale Analytics - Santosh Vinnakota - IJAIDR Volume 14, Issue 1, January-June 2023. DOI 10.5281/zenodo.15104183
DOI	https://doi.org/10.5281/zenodo.15104183
Short DOI	https://doi.org/g897wx

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Journal of Advances in Developmental Research