Driving ML Data Quality with Data Contracts // Andrew Jones // MLOps Meetup #115
MLOps Community Meetup #115! We talked to Andrew Jones, Tech Lead at GoCardless.
//Abstract
Andrew introduces the concept of Data Contracts and talks about how they at GoCardless are using it to improve the quality and reliability of data by empowering data consumers - including our Data Scientists - to work closely with the data generators and get the data they really need to power highly effective ML models and other data-driven products.
// Bio
Andrew is a Senior Data Engineer and group Tech Lead, working across Data Infrastructure and ML Enablement to build best-in-class infrastructure and services to power analytics, models, and data-driven products.
// Jobs board
https://mlops.pallet.xyz/jobs
// Related links
Website: https://andrew-jones.com/
Andrew's blog post: https://andrew-jones.medium.com/
----------- ✌️Connect With Us ✌️-------------
Join our Slack community: https://go.mlops.community/slack
Follow us on Twitter: @mlopscommunity
Sign up for the next meetup: https://go.mlops.community/register
Catch all episodes, Feature Store, Machine Learning Monitoring, and Blogs: https://mlops.community/
Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with Andrew on LinkedIn: https://www.linkedin.com/in/andrewrhysjones/
Timestamps:
[00:00] Musical introduction to Andrew Jones
[03:58] Andrew's background
[04:05] Driving ML Data Quality with Data Contracts
[04:12] GoCardless
[04:49] The Key ML Models at GoCardless
[06:32] Data is critical to a model's performance
[06:54] The data platform at GoCardless in 2021
[09:00] Ultimately, we believe that data is of poor quality
[10:59] There must be a better way...
[11:29] What is good quality data
[13:00] An API for data?
[15:11] Introducing data contracts
[15:20] What is data contract?
[17:02] An example data contract
[25:38] Isolated GCP projects
[27:00] It's not really about the implementation...
[27:34] Align on the problem
[29:17] Work out how best to solve it for us
[31:22]
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