Challenges in Transitioning from Traditional Data Warehousing to Modern Data Architectures

Aneehika Nellutla

Abstract: The transition from traditional data warehouses, such as SQL Server, to modern data architectures like the Medallion architecture, has introduced a paradigm shift in data management and processing. This paper explores the challenges faced during this transition, particularly focusing on differences in scalability, schema design, data partitioning, and query optimization. It also examines the implications of adopting distributed systems and new technologies, highlighting the practices that need adaptation. By addressing these challenges, organizations can fully realize the potential of modern data platforms.

Keywords: Modern Data Warehouse, Traditional Data Warehouse, Medallion Architecture, MPP Systems, Scalability, Data Partitioning, Query Optimization, Schema-on-Read, Real-Time Processing, Distributed Systems