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Overview

In today’s digital landscape, the logistics industry generates over 2.5 quintillion bytes of data daily, making efficient data pipelines critical for operational success. Data has evolved from static reports into a dynamic force powering real-time analytics, personalized customer experiences, and predictive insights, driving businesses toward sustainable growth. For logistics companies, this shift is particularly vital, as they juggle real-time tracking, global operations, and cost optimization in a fiercely competitive market.

Yet, system modernization to harness this data deluge presents significant hurdles—handling massive volumes across diverse formats and ensuring seamless integration into digital ecosystems. Here, an optimized data pipeline becomes indispensable, delivering high-performance processing and operational stability. 

This case study delves into how NTQ transformed a logistics company’s data infrastructure with a cutting-edge pipeline strategy, spearheaded by Mr. Brian Hoang, Head of NTQ Cloud Department, to unlock scalability and competitive advantage.

What will be covered?

  • Overview of Data Pipeline
  • Analysis of Client’s Challenges
  • NTQ’s Approach to Client’s Pain Point
  • Result & Key Takeaways
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