~/talk

Cloud and Data Services

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IBM describes a three-layer cloud stack: SoftLayer for global virtual and bare-metal infrastructure with a private backplane, Bluemix (Cloud Foundry) for composable platform services, and SaaS on top. The concrete pain point is data preparation: cleaning, lineage and audit trails before analysis. Spark is positioned as the unified execution engine supporting dataframes, Python and external sources to mash up on-premise records with public/premium data. Training (Big Data University) plus product UX aim to close the skills gap.

AI-written summary · about

  1. 0:00Introduction
  2. 1:28Skills Gap
  3. 2:56Data Preparation
  4. 4:13Spark
  5. 5:14Big Data
  6. 5:52Deep Data
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