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The Next Age of Data Engineering: AI, Cloud Computing, and Scalable Architectures

  • Traditional data engineering frameworks are being pushed beyond their limits as enterprises generate massive volumes of data at unprecedented speeds.
  • Scalability, real-time processing, and automation are the core challenges in modern data systems.
  • Cloud-native architectures, streaming architectures, and AI-driven data ecosystems are key to addressing these challenges.
  • The future of data engineering lies in AI-powered self-healing systems, autonomous data governance, and real-time anomaly detection.

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