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AWS re:Invent 2019: [REPEAT 1] Amazon DynamoDB deep dive: Advanced design patterns (DAT403-R1)

AWS Events · 114.6K views · 2019-12-07 · 59:13

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Overview

An AWS re:Invent 2019 session for advanced DynamoDB users on design patterns used by large customers, including Amazon retail. It covers GSI sharding, index overloading, graph processing, composite keys and transactional workflows.

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Recommended as Rick Houlihan's definitive talk on modeling relational-style data in DynamoDB.

Recommended by 1 HN people across 1 months · HN mentions 2020–2022

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What people said

andriosr · 2020-09 · Recommendation

I wrote a piece that touches a bit on the why: [LINK] But in a nutshell: availability and scalability. Yes you can achieve this with relational DBs, but it will be quite complex, while No-SQL gives it by design. All while ensuring all the goodness of relational data modeling, consistency and queries. The only requirement is a good table design: [VIDEO]

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andriosr · 2020-09 · Recommendation

Interesting question. No-SQL doesn't mean non-relational. DynamoDB is a relational database. It's up to you on how you design the table to accommodate your relations. This is a great presentation about this: [VIDEO]

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belter · 2022-01 · Reference

You never heard of Rick Houlihan? He is the 90% of DynamoDB Evangelism... At the same time you are able to this internal lookups? Do you work with DynamoDB? AWS re:Invent 2018: Amazon DynamoDB Deep Dive: Advanced Design Patterns for DynamoDB (DAT401) [LINK] AWS re:Invent 2019: [REPEAT 1] Amazon DynamoDB deep dive: Advanced design patterns (DAT403-R1) [VIDEO] AWS re:Invent 2020: Amazon DynamoDB advanced design patterns – Part 1 [LINK] AWS re:Invent 2020: Amazon DynamoDB advanced design patterns – Part 2 [LINK] AWS re:Invent 2021 - DynamoDB deep dive: Advanced design patterns [LINK] Amazon DynamoDB | Office Hours with Rick Houlihan: Breaking down the design process for NoSQL applications [LINK]

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