DynamoDB: Its purpose, main features, and key concepts | Jason Hunter | AWS Events

A thorough introduction to DynamoDB covering its purpose, main features, and key concepts including: tables and items, read and write capacity, auto scaling, data types, secondary indexes, encryption, auditing, backup and restore, export to S3, and NoSQL Workbench. Part 1 of 2. Presented by Jason Hunter at the Database Modernization Week event. Part 2 available at • DynamoDB: Under the ho... .
Learn more about DynamoDB at: go.aws/3dVz3xe
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[@9apk]

Wow! The best use of 45 minutes of my life. Very efficient quality information on DynamoDB. Kudos to the presenter for the preparation!

[@awssupport]

Thanks for the feedback! We're happy to hear that you enjoyed the video. 😀 ^AK

[@timmy0000007]

Thank you @jasonhunter for this presentation. Your structure and flow seemed very fluid to me and very helpful.

[@jasonhunter1786]

Thank you! I appreciate that.

[@gustavozenke5911]

One of the richest videos I’ve seen about DynamoDB. Thank you

[@heysato5862]

Useful technical info from 30:15 onwards

[@varshard0]

Thank you. The initial sales pitch is unbearable.

[@passenger175]

thanks! Wasnt interested in the C-level nonsense for the half hour

[@IllusionExists]

Excellent explanation of DynamoDB. It's very helpful.

[@amazonwebservices]

Thanks! We're so glad you like it! 😀

[@jmcdonne]

Very well done presentation! Informative with no filler.

[@st.toussaint4632]

Great presenter! Very easy to follow

[@amazonwebservices]

🙌

[@ivan.angulo]

DynamoDB is an example that not all No-SQL databases are designed equal. DynamoBD is very strict in the design of access patterns, if you need to perform a query with a query method and you don't have the necessary index (and if it is composite you must concatenate it in a column) it will be difficult for you to access it efficiently, it requires more careful planning than other DBs

[@lmb_codes]

TBH, responsible engineers should apply thoughtful planning - even with traditional relational DBs, especially with indexes for access patterns. it would be really embarrassing to experience slowdowns in prod just because someone forgot about an index and executed a full table scan 🤣

[@jasonhunter1786]

Right, DynamoDB aims to be fast and efficient. You can't push unbounded work onto the database. You must consider your update and access patterns as part of the schema design.

[@michaelpotter1775]

Good Observation: i see this as an upside. Others will see it as a downside and probably just us a different tech.

[@purduetom90]

This was phenomenal! Thank you!

[@akhilbobby636]

Perfect Explanation. Thanks a lot!

[@amazonwebservices]

It's our pleasure, Akhil! 😁 Glad you liked it! 😀

[@santosharakere]

Excellent presentation, thank you.

[@kronostitan11]

Excellent video

[@wiktormigaszewski8684]

thnx, this was actually interesting

[@harikrishnarenumanu6829]

how we will decide which database we should choose to an work

[@awssupport]

Great question, Harikrishna. 🧐 See this guide on choosing the right database to start with: go.aws/46Dnf95. You can find information on the different types of databases and available services on AWS. You may also find this best practices guide for databases helpful: go.aws/3tF6TOM. ✅ ^MO