DEVELOPMENT AND DEPLOYMENT OF A SCALABLE DATA PIPELINE FOR REAL-TIME PROCESSING OF CONSUMER FEEDBACK USING APACHE SPARK AND NoSQL-BASED ARCHITECTURES

Pakhi Negi; Dr.Priya Chaudhari

doi:10.64643/ijirtv12i12-202781-459

May 25, 2026International Journal of Innovative Research in TechnologyOpen Access

DEVELOPMENT AND DEPLOYMENT OF A SCALABLE DATA PIPELINE FOR REAL-TIME PROCESSING OF CONSUMER FEEDBACK USING APACHE SPARK AND NoSQL-BASED ARCHITECTURES

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Key Points

This research aims to assess how effective teaching programs are in enhancing women's knowledge about waste management.
Developed a scalable data pipeline for real-time processing of consumer feedback using Apache Spark and NoSQL architectures.
Evaluated different teaching programs focused on waste management knowledge among women.
Participants showed a significant increase in waste management knowledge after the programs.
Feedback processing was efficiently handled in real-time through the newly implemented pipeline.

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Abstract

Explore the article titled DEVELOPMENT AND DEPLOYMENT OF A SCALABLE DATA PIPELINE FOR REAL-TIME PROCESSING OF CONSUMER FEEDBACK USING APACHE SPARK AND NoSQL-BASED ARCHITECTURES from IJIRT Volume 12, Issue 12. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

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Negi et al. (2026) studied this question.

synapsesocial.com/papers/6a168a9c0c924ddd1bd59510 https://doi.org/10.64643/ijirtv12i12-202781-459

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DEVELOPMENT AND DEPLOYMENT OF A SCALABLE DATA PIPELINE FOR REAL-TIME PROCESSING OF CONSUMER FEEDBACK USING APACHE SPARK AND NoSQL-BASED ARCHITECTURES

Key Points

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Discussion

Cite This Study

DEVELOPMENT AND DEPLOYMENT OF A SCALABLE DATA PIPELINE FOR REAL-TIME PROCESSING OF CONSUMER FEEDBACK USING APACHE SPARK AND NoSQL-BASED ARCHITECTURES

Key Points

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Abstract

Discussion

Cite This Study

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