Five Data Models for Sharding | Nordic PGDay 2018 | Craig Kerstiens

Five Data Models for Sharding | Nordic PGDay 2018 | Craig Kerstiens

Whether you’re working with a distributed system or an MPP database, a key factor in the flexibility you get with the system is how you shard or partition your data. Do you do it by customer, time, or some random uuid? Here we’ll walk through five different approaches to sharding your data and when you should consider each. If you’re thinking you need to scale beyond a single node this will give you the start of your roadmap for doing so.

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Citus Data

March 13, 2018
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