Abstract:

Emerging data-driven applications constantly seem to find their modern data architectures on data pipelines. There are great technical challenges to optimize such a pipeline: in terms of performance bottlenecks, data quality issues, infrastructure management, and security concerns. This paper explores all these comprehensively and presents solutions involving architectural innovations, advanced engineering practices, and emerging technologies. We also discuss existing solutions and technologies and some trends regarding the future of optimization in pipelines data, such as AI, serverless computing, and quantum technologies.

Description:

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