What question did this study set out to answer?

This research focuses on reviewing and comparing scalable data pipeline designs to enhance AI applications.

January 1, 2021Open Access

Design Scalable Data Pipelines For Ai Applications

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Review evaluates architectural approaches for improving AI data processing in large-scale systems, suggesting better practices.

This research focuses on reviewing and comparing scalable data pipeline designs to enhance AI applications.
Reviewing existing data pipeline architectures
Evaluating tools for data ingestion to production
Simulating real-time scenarios using hardware accelerators and cloud-based solutions
Identified optimal practices for implementing data pipelines for AI models
Demonstrated improvements in latency and throughput with advanced technologies
Highlighted challenges in data processing and real-time analysis for AI applications

Vasa et al. (2021) studied this question.

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