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DBTB INT Adam Mollenkopf

Talkat Data By the Bay 2016 · 2016-05-16..05-20· [data-engineering]
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Claims that DC/OS gives a common operating environment that runs and reschedules services so teams stop managing machines, with Spark, Kafka, Cassandra, Elasticsearch deployed as ephemeral, resilient units that auto-restart elsewhere when nodes fail. Notes an IoT-driven data surge — micro weather stations on buses and CO2 sensors — requiring real‑time and post‑hoc analytics. Advises prioritizing domain problems over chasing frameworks, using platform automation to simplify infrastructure so analytics focus remains on the use case.

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