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VOL. 9, ISSUE 5 (2024)
Iterative build approach for realtime data streaming infrastructure in retail data organization
Authors
Ramla Suhra
Abstract
When data-driven
decisions become a strategic priority for retail organizations, real-time
analytics often emerges as an indispensable tool. The initial step is typically
to invest in real-time infrastructure, with streaming platforms as a core
component. This case study examines the journey of a retail organization as
they built and matured their real-time data streaming infrastructure which is
cloud native. We will discuss how they continuously assessed and adjusted the
platform to meet evolving requirements and leverage emerging technologies. The
whitepaper provides a detailed examination of the iterative approach used to rapidly
develop a robust streaming infrastructure capable of meeting the organization's
future demands. The platform's lifecycle is broken down into two sections: a
high-level overview and in-depth technical analysis of various phases,
including challenges and advantages. In conclusion, the paper summarizes key
learnings from each iteration and improvements made during each and outlines a
proposed roadmap for the future development of the streaming platform. By
following this roadmap, the organization can continue to harness the power of
real-time analytics to drive innovation and achieve business success.
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Pages:42-47
How to cite this article:
Ramla Suhra "Iterative build approach for realtime data streaming infrastructure in retail data organization". International Journal of Academic Research and Development, Vol 9, Issue 5, 2024, Pages 42-47
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