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DataNova Academy Learning Path

Real-Time Data Engineering

Design streaming systems that power fraud detection, operations intelligence, telemetry, and event-driven products.

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Real-Time Data Engineering course preview

Coming Soon

This learning experience is currently in development.

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What You'll Learn

  • Streaming architecture fundamentals
  • Kafka and Confluent patterns
  • Azure Event Hubs concepts
  • Apache Flink and stream processing ideas
  • Event-driven system design
  • Near real-time analytics use cases

Who It's For

  • Data engineers expanding into streaming
  • Platform and integration engineers
  • Teams building operational intelligence systems
  • Professionals supporting real-time AI and analytics

Skills You'll Gain

  • Streaming architecture literacy
  • Event-driven design thinking
  • Kafka and Event Hubs familiarity
  • Real-time pipeline problem solving

Prerequisites

  • Data engineering fundamentals recommended
  • Comfort with distributed systems concepts helpful

Expected Learning Outcomes

  • Design near real-time data architectures
  • Compare streaming technologies thoughtfully
  • Support event-driven enterprise use cases
  • Connect streaming data to analytics and AI

FAQ

Frequently Asked Questions

  • Is batch data engineering enough before this?

    A foundation in Data Engineering helps significantly. This path builds on that with streaming and event-driven patterns.

  • Will Kafka and Event Hubs both be covered?

    Yes. The path explores major streaming technologies used in modern enterprise architectures.

  • Can I reserve a spot now?

    You can join the waiting list now and receive notification when enrollment opens.

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