Journal of Advances in Developmental Research

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The Evolution of Data Warehousing: From On-Premise to Cloud-Native Solutions

Author(s) Srinivasa Rao Karanam
Country United States
Abstract Throughout the broader timeline of enterprise computing, data warehousing has become an integral approach for consolidating disparate data sets into the centralized, structured repository. Initial on-premise models emphasized intricately planned schema designs and hardware provisioning, but with the advent of highly scalable Cloud infrastructures, the complexities of deployment and management began to shift drastically. This paper evaluates the transitions from historical on-premises architecture, which demanded massive capital outlays, into more flexible cloud-based data warehouse topologies that provide elasticity, distributed processing, advanced automation, and cost transparency. In addition, the discussion addresses challenges regarding data governance, security compliance, real-time analytical capabilities, AI-driven workloads, and emerging hybrid or multi-cloud strategies. We highlight how data warehousing landscape is shaped by serverless compute paradigms, advanced pipeline orchestration, and renewed focus on data lineage.
Keywords Data Warehousing, Distributed Systems, Data Governance, MPP Architectures, Cloud Computing, Real-Time Analytics, Compliance
Field Engineering
Published In Volume 15, Issue 2, July-December 2024
Published On 2024-10-08
Cite This The Evolution of Data Warehousing: From On-Premise to Cloud-Native Solutions - Srinivasa Rao Karanam - IJAIDR Volume 15, Issue 2, July-December 2024. DOI 10.5281/zenodo.15206387
DOI https://doi.org/10.5281/zenodo.15206387
Short DOI https://doi.org/g9fcw7
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