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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