University · Computer Science · Data Science and Big Data Technologies

Stream Processing and Real-Time Data Processing: Kafka, Flink, and Event-Driven Architecture

4 Abschnitte1 Karteikarten-Decks1 Quizze

Covers the core concepts of stream processing and real-time data pipelines, including Apache Kafka, Apache Flink, windowing strategies, delivery semantics, and architectural patterns such as Lambda and Kappa.

Inhaltsübersicht

  • Batch vs. Stream Processing and Apache Kafka
  • Kafka Delivery Semantics and Apache Flink
  • Time Concepts and Window Operations in Stream Processing
  • Event-Driven Architecture: Lambda and Kappa Architectures
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Learn Stream Processing and Real-Time Data Processing: Kafka, Flink, and Event-Driven Architecture — Data Science and Big Data Technologies Computer Science | Summary, Flashcards & Quiz