TRANSFORMING BIG DATA INTO ACTIONABLE INTELLIGENCETHROUGH DATA ENGINEERING AND ARTIFICIAL NEURALNETWORK MODELS
Keywords:
Big Data, Data Engineering, Artificial Neural Networks, Machine Learning, Actionable Intelligence, Data PipelinesAbstract
The rapid growth of big data has created an urgent need to convert vast and
complex datasets into actionable intelligence. This paper explores the interplay
between data engineering and artificial neural networks (ANNs) to process,
analyze, and derive meaningful insights. By implementing robust data engineering
pipelines and leveraging ANNs, businesses can gain deeper insights, optimize
operations, and improve decision-making processes. This study also reviews pre2021 literature to establish a foundational understanding and proposes a structured
framework for future applications.
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Copyright (c) 2025 J. Powars Winkelstein (Author)
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