Feature Store as a Foundation for Machine Learning

 By KDnuggets - 2021-03-14

Description

With so many organizations now taking the leap into building production-level machine learning models, many lessons learned are coming to light about the supporting infrastructure. For a variety of im ...

Summary

  • With so many organizations now taking the leap into building production-level machine learning models, many lessons learned are coming to light about the supporting infrastructure.
  • From there, ML engineers can discover the features, use them for training new models, and then re-use the features for serving.
  • It can be nicely integrated with everything that has already been done in your data infrastructure.
  • It is important that your hot storage be composable, pluggable, and in alignment with your data infrastructure strategy For cold storage, Apache Hudi and Delta lake are our favorites.

 

Topics

  1. Backend (0.43)
  2. Database (0.19)
  3. Mobile (0.17)

Similar Articles

The Growing Importance of Metadata Management Systems

By Gradient Flow - 2021-02-02

Metadata will be the foundation for data governance solutions, data catalogs, and other enterprise data systems. By Assaf Araki and Ben Lorica. Introduction As companies embrace digital technologie…