This chapter explores the intersection of networking and data engineering, focusing on the design, implementation, and optimization of data infrastructures within diverse communication environments. It delves into emerging paradigms like cloud, edge, and IoT, along with protocols spanning from physical to application layers. Key topics include cyber physical systems, 3GPP and non-3GPP networks, transport layers such as QUIC, and network monitoring for reliable data transmission. Through case studies and applications, the chapter aims to elucidate the challenges and opportunities in deploying scalable, secure, and resilient data networks.

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Networking Data Engineering: Bridging the Gap Between Communication and Data Processing

  • Yunyong Guo,
  • Bryan Guo,
  • Nathan Guo

摘要

This chapter explores the intersection of networking and data engineering, focusing on the design, implementation, and optimization of data infrastructures within diverse communication environments. It delves into emerging paradigms like cloud, edge, and IoT, along with protocols spanning from physical to application layers. Key topics include cyber physical systems, 3GPP and non-3GPP networks, transport layers such as QUIC, and network monitoring for reliable data transmission. Through case studies and applications, the chapter aims to elucidate the challenges and opportunities in deploying scalable, secure, and resilient data networks.