Cloud and Data Services
summary
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.
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