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Scaling a Cloud Based Analytics Engine

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No logo availablePGCon - PostgreSQL Conference for Users and Developers, Andrea Ross
 Billington, Samantha

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Scaling a Cloud Based Analytics Engine
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Mission Impossible
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31
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CC Attribution 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Production PlaceOttawa, Canada

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Scaling a 100% Cloud Native Analytics Engine Your mission, should you chose to accept it, create a data storage system that can handle 200 Gigs of data per day on cloud servers with heavy analytics. GO! The architecture plan of a real time logging system built to handle 200g/day of data and hand it off from mid-term OLTP storage into and OLAP postgres data warehouse. It was built with heavy reliance on inheritance, dblink, and streaming replication.