Road to Real-Time Digital Business
summary
Claims that businesses must move from 20-minute batch answers to sub-second decisions, using historical plus streaming data with just-in-time analytics, and that machine learning will automate many actions. Shows working tools and patterns: Spark as a unified programming model to reuse models from stream to HDFS, IPython-style notebooks (70,000 repos cited) that let data scientists and developers iterate with business users, and the surprising outcome that composability (Bloomix) matters more to businesspeople than to developers. Mentions BT moving into TV and the push for loosely coupled data.
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chapters (9)
- 0:00Intro
- 0:22Market disruptors
- 1:23The art of the possible
- 3:09democratization of data
- 4:16analytics
- 5:18programming models
- 6:31Apache Spark
- 7:43Notebooks
- 8:25Requirements
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