International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 6 Issue 5
September-October 2024
Indexing Partners
Designing Scalable Data Architectures for Enterprise Data Platforms
Author(s) | Syed Ziaurrahman Ashraf |
---|---|
Country | USA |
Abstract | The explosive growth of data in enterprises necessitates robust, scalable architectures that can efficiently handle diverse data sources and workloads. This paper presents an in-depth exploration of designing scalable data architectures for enterprise data platforms. It discusses critical architectural patterns, including data lakes and warehouses, and delves into the challenges and best practices associated with scalability, performance optimization, and data governance. The paper also provides detailed pseudocode, flowcharts, and diagrams to illustrate these concepts effectively. |
Keywords | Scalable data architecture, enterprise data platforms, data lakes, data warehouses, big data, cloud computing, data governance, performance optimization. |
Published In | Volume 5, Issue 1, January-February 2023 |
Published On | 2023-01-18 |
Cite This | Designing Scalable Data Architectures for Enterprise Data Platforms - Syed Ziaurrahman Ashraf - IJFMR Volume 5, Issue 1, January-February 2023. |
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E-ISSN 2582-2160
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CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
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