Read more here: https://getindata.com/blog/machine-learning-features-discovery-feast-amundsen Author: Mariusz Strzelecki Linkedin: https://www.linkedin.com/in/mariusz-strzelecki/ ___ Company: Getindata is a company founded in 2014 by ex-Spotify data engineers. From day one our focus has been on Big Data projects. We bring together a group of best and most experienced experts in Poland, working with cloud and open-source Big Data technologies to help companies build scalable data architectures and implement advanced analytics over large data sets. Our experts have vast production experience in implementing Big Data projects for Polish as well as foreign companies including i.a. Spotify, Play, Truecaller, Kcell, Acast, Allegro, ING, Agora, Synerise, StepStone, iZettle and many others from the pharmaceutical, media, finance and FMCG industries. https://getindata.com​

1. Feast + Amundsen
Integration
Amundsen Community Meeting, 2021-04-01
by Mariusz Strzelecki @

2. What is Feast?

3. How to browse Feature Tables?
● you can use Python/Java/GO SDK
● or cli (based on Python SDK)
● …
● and that’s all :-(

4. Here comes Amundsen!
● Feast data structures are like Amundsen ones
○ entities, features -> these store values, like columns
○ feature tables are made of entities and features -> like tables
○ project (dev, test, prod) -> like schema
○ feast url -> like cluster
○ “feast” -> as database
● But, Feast offers more: each feature table has offline and online metadata
○ Programmatic Descriptions FTW!

5. Entity
Features
Feature Table
Project
amundsendatabuilder/pull/414

6. And more!
● Data scientists love statistics -> TableColumnStats
● They also trust data only if they see it -> Preview button connected to
Superset, batchSource of Features Tables registered in Presto
● Running databuilder from Kubeflow
Pipelines

7. Amundsen and Feast in LF AI&Data
● Amundsen jointed LF AI&Data in August 2020
● Feast joined LF AI&Data in November 2020

8. Thank you!
Questions?