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Scalable Data Architecture for Modern Manufacturing: Integrating Data Lakes and Pipelines

Author(s) Tarun Parmar
Country United States
Abstract The implementation of data lakes and data pipelines for scalable manufacturing analytics presents significant opportunities and challenges for modern manufacturing organizations. These technologies enable real-time monitoring, predictive maintenance, and optimization of production processes, leading to improved operational efficiency and strategic decision making. However, successful implementation requires addressing several key challenges, including data quality and consistency, the integration of legacy systems, real-time data processing, data security and compliance, scalability and performance, and the skill gap in data management. To overcome these challenges, manufacturers must implement robust data validation and cleansing processes, develop custom connectors or middleware solutions for legacy system integration, adopt stream processing technologies and edge computing for real-time data processing, ensure comprehensive security measures and regulatory compliance, leverage cloud-based solutions and optimized data management strategies for scalability, and invest in training programs to foster a data-driven culture. By addressing these issues, manufacturers can fully harness the potential of data lakes, pipelines, and scalable analytics to gain a competitive edge in the industry, drive innovation, improve product quality, and enhance the overall operational efficiency. As the manufacturing sector evolves, the effective implementation of these data technologies will be instrumental in transforming raw information into actionable insights that propel the industry forward.
Keywords data lakes, data pipelines, scalable manufacturing analytics, real-time monitoring, predictive maintenance, operational efficiency, data integration
Field Engineering
Published In Volume 4, Issue 2, February 2023
Published On 2023-02-08
Cite This Scalable Data Architecture for Modern Manufacturing: Integrating Data Lakes and Pipelines - Tarun Parmar - IJLRP Volume 4, Issue 2, February 2023. DOI 10.5281/zenodo.14840171
DOI https://doi.org/10.5281/zenodo.14840171
Short DOI https://doi.org/g84hh3
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