QLDB finance/acconting books/materials/courses

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Hello,

Currently, I'm trying to build the finance/trading system based on QLDB. I want to go deeper into this topic.

May I ask you if you have some AWS books/guides/courses/best practices (if I can take/pay) for building a trading ledger (or related topic)? I would appreciate it if you have any.

Cheers, Svitlana

1 Answer
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Accepted Answer

Hi Svitlana,

Thanks for your question! Here are some resources that should help you to get started:

  1. An overview of Amazon QLDB and its origins in this 1 hour YouTube video: https://www.youtube.com/watch?v=ZfYDl4kaVCo
  2. A 1.5 hours YouTube video that will walk you through an example of building a ledger-based system with Java driver for Amazon QLDB: https://www.youtube.com/watch?v=-5LqDjzAyZU
  3. Amazon QLDB Immersion Day Workshop - a set of labs that you can follow to try different aspects of using QLDB: https://qldb-immersionday.workshop.aws/
  4. An example of double-entry bookkeeping application with Java and Amazon QLDB: https://github.com/aws-samples/amazon-qldb-double-entry-sample-java
  5. There is also a great sample application that goes deeper into using the driver in different languages with many examples: https://docs.aws.amazon.com/qldb/latest/developerguide/getting-started-sample-app.html
  6. A great catalogue of other resources related to Amazon QLDB: https://github.com/mlewis7127/awesome-qldb

When it comes to the trading ledger, from the architectural stand point, Amazon QLDB can play a role of settlement ledger, like in the double-entry bookkeeping example above. At the same time, when it comes to order matching, the queries might become complicated and your solution might require to use another database in conjunction with QLDB, that will facilitate those queries more efficiently (see Lab4 as an example of using Amazon Aurora together with QLDB). Here are some details about optimizing query performance that also touches on the limitations to be aware of: https://docs.aws.amazon.com/qldb/latest/developerguide/working.optimize.html

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