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From Big Data to Fast Data: Apache Spark

TalkinItalianat Codemotion Milan 2015 · 2015-11-20..11-21· [data-engineering, machine-learning]
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Overview of Apache Spark as an alternative to MapReduce for cluster computing, focusing on moving from batch-oriented Big Data (Hadoop) to real-time stream processing (Fast Data). Covers Spark and its ecosystem and includes a few short examples showing how Spark handles continuous data streams and distributed processing.

AI-written summary · about

  1. 0:00Introduction
  2. 2:13Big Data vs Fast Data
  3. 4:48MapReduce limitations
  4. 6:11Apache Spark features
  5. 9:46Spark architecture
  6. 13:58Resilient Distributed Dataset
  7. 17:47Word Count example
  8. 21:42Computation graph
  9. 26:00Spark ecosystem
  10. 28:28Spark Streaming
  11. 34:12Summary
  12. 38:26Q&A
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