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AWS re:Invent 2018: Amazon DynamoDB Deep Dive: Advanced Design Patterns for DynamoDB (DAT401)

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Further reading 2

Caption notes

Start DynamoDB modeling with the access patterns. Composite keys and indexes can answer predictable queries without joins, but partitioning and lifecycle choices matter.

Original passages · 6
I need to know exactly what the application is doing
AWS re:Invent 2018: Amazon DynamoDB Deep Dive: Advanced Design Patterns for DynamoDB (DAT401) · ▶ 27:59–28:08
the more that I tune that data to the access pattern the more tightly coupled to that service I am
AWS re:Invent 2018: Amazon DynamoDB Deep Dive: Advanced Design Patterns for DynamoDB (DAT401) · ▶ 29:44–29:52
the filter condition applies after the read so
AWS re:Invent 2018: Amazon DynamoDB Deep Dive: Advanced Design Patterns for DynamoDB (DAT401) · ▶ 36:14–36:20
the metric is calculated now it can be read a million times
AWS re:Invent 2018: Amazon DynamoDB Deep Dive: Advanced Design Patterns for DynamoDB (DAT401) · ▶ 33:52–33:59
understand every access pattern I need to know
AWS re:Invent 2018: Amazon DynamoDB Deep Dive: Advanced Design Patterns for DynamoDB (DAT401) · ▶ 27:59–28:05
we want single queries to deliver multiple entities
AWS re:Invent 2018: Amazon DynamoDB Deep Dive: Advanced Design Patterns for DynamoDB (DAT401) · ▶ 52:26–52:33

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