From Big Data to Fast Data: Apache Spark
summary
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.
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chapters (12)
- 0:00Introduction
- 2:13Big Data vs Fast Data
- 4:48MapReduce limitations
- 6:11Apache Spark features
- 9:46Spark architecture
- 13:58Resilient Distributed Dataset
- 17:47Word Count example
- 21:42Computation graph
- 26:00Spark ecosystem
- 28:28Spark Streaming
- 34:12Summary
- 38:26Q&A
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