Dataconomy
  • News
    • Artificial Intelligence
    • Cybersecurity
    • DeFi & Blockchain
    • Finance
    • Gaming
    • Startups
    • Tech
  • Industry
  • Research
  • Resources
    • Articles
    • Guides
    • Case Studies
    • Glossary
    • Whitepapers
  • Newsletter
  • + More
    • Conversations
    • Events
    • About
      • About
      • Contact
      • Imprint
      • Legal & Privacy
      • Partner With Us
Subscribe
No Result
View All Result
  • AI
  • Tech
  • Cybersecurity
  • Finance
  • DeFi & Blockchain
  • Startups
  • Gaming
Dataconomy
  • News
    • Artificial Intelligence
    • Cybersecurity
    • DeFi & Blockchain
    • Finance
    • Gaming
    • Startups
    • Tech
  • Industry
  • Research
  • Resources
    • Articles
    • Guides
    • Case Studies
    • Glossary
    • Whitepapers
  • Newsletter
  • + More
    • Conversations
    • Events
    • About
      • About
      • Contact
      • Imprint
      • Legal & Privacy
      • Partner With Us
Subscribe
No Result
View All Result
Dataconomy
No Result
View All Result

LinkedIn donates Feathr, their feature store, to the Linux Foundation

byÖnder Erdine
September 21, 2022
in News, Artificial Intelligence
Home News
  • LinkedIn developed Feathr to help manage and distribute features used in its machine learning technologies.
  • According to LinkedIn, the feature store is presently being used to track hundreds of features used by the social media giant.
  • LinkedIn released the code of the feature store under an Apache 2.0 license in April, making the open source feature store available to the general public for the first time.
  • LinkedIn is giving the Linux Foundation’s LF AI & Data section additional influence over the open source project by donating the feature store, which should attract more users and contributions.

LinkedIn announced today that Feathr, its open source feature store, has joined LF AI & Data, the Linux Foundation’s umbrella foundation for big data and AI initiatives.

Feathr is used to improve the accuracy and performance of ML systems

LinkedIn created Feathr to aid with the management and delivery of features used in its machine learning applications. Rather than dealing with features manually as part of a separate data pipeline, the feature store automates and standardizes the interaction with the data type, which is utilized in machine learning training and inference stages.

The motivation for developing Feathr was to improve its machine learning systems’ consistency, accuracy, and performance. Users may now get data features used in ML programs “by name” from within ML workflows by specifying them once in a shared feature namespace. This enables the usage of the same features across many ML systems, increasing efficiency and accuracy.

Stay Ahead of the Curve!

Don't miss out on the latest insights, trends, and analysis in the world of data, technology, and startups. Subscribe to our newsletter and get exclusive content delivered straight to your inbox.

LinkedIn donates Feathr, their feature store, to the Linux Foundation
Feathr is presently used to track hundreds of features used by LinkedIn

Feature stores also provide a more repeatable mechanism for translating source data into features (not available in all feature stores) and improve ML serving speed at the inference stage by centralizing feature storage and serving.

Since the software’s initial introduction in 2017, it has increased in popularity. The feature store, according to LinkedIn, is currently being used to track hundreds of features utilized by the social media giant.

Hangfei Lin, a LinkedIn data infrastructure engineer, wrote in a blog post that, “It has reduced the engineering time required for adding and experimenting with new features from weeks to days. It’s also performed up to 50% faster than the custom feature processing pipelines that it replaced.”

LinkedIn donates Feathr, their feature store, to the Linux Foundation
Feathr automates and standardizes the interaction with the data type for use in ML applications

This April, LinkedIn published the Feathr code under an Apache 2.0 license, allowing the general public to access the open source feature store for the first time. Lin notes that the project “has achieved substantial popularity among the machine learning operations (MLOps) community” since then and is now being used by enterprises across numerous sectors.


META TRANSITIONS PYTORCH TO LINUX FOUNDATION


The donation will draw more contributors to the project

LinkedIn is placing more control behind the open source project by donating Feathr to The Linux Foundation’s LF AI & Data division, which should help draw more users and contributions to the project.

Dr. Ibrahim Haddad, General Manager of LF AI & Data, said in a press statement, “We’re excited to welcome Feathr to LF AI & Data and for it to be part of our technical project portfolio (41 projects and growing) with over 17K developers. We aim to support Feathr to expand its user base, grow its community of developers, become a leader within its own category, and enable collaboration and integration opportunities with other projects. We look forward to the project’s continued growth and success as part of LF AI & Data.”

LinkedIn donates Feathr, their feature store, to the Linux Foundation
LinkedIn’s donation of the feature store to the Linux foundation will likely bring in more developers into the fold

Microsoft is also involved in the Feathr story (Microsoft owns LinkedIn). Lin claims that LinkedIn developers collaborated with Microsoft Azure colleagues to guarantee Feathr functions well on Azure and integrates with other Azure products and projects.


Machine learning makes life easier for data scientists


According to an Azure blog post, Feathr now supports Apache Spark, Juypter, Azure BLOB Storage, HDFS, Snowflake, Databricks Delta Tables, and SQL Server. Back in April, Microsoft was also participating in the open-sourcing of Feathr. The feature store is currently an LF AI + Data sandbox project. Check out its GitHub page for further details.

Tags: linkedinLinux FoundationMicrosoft

Related Posts

Texas Attorney General files lawsuit over the PowerSchool data breach

Texas Attorney General files lawsuit over the PowerSchool data breach

September 5, 2025
iPhone 17 Pro is expected to arrive with 48mp telephoto, variable aperture expected

iPhone 17 Pro is expected to arrive with 48mp telephoto, variable aperture expected

September 5, 2025
AI chatbots spread false info in 1 of 3 responses

AI chatbots spread false info in 1 of 3 responses

September 5, 2025
OpenAI to mass produce custom AI chip with Broadcom in 2025

OpenAI to mass produce custom AI chip with Broadcom in 2025

September 5, 2025
When two Mark Zuckerbergs collide

When two Mark Zuckerbergs collide

September 5, 2025
Deepmind finds RAG limit with fixed-size embeddings

Deepmind finds RAG limit with fixed-size embeddings

September 5, 2025
Please login to join discussion

LATEST NEWS

Texas Attorney General files lawsuit over the PowerSchool data breach

iPhone 17 Pro is expected to arrive with 48mp telephoto, variable aperture expected

AI chatbots spread false info in 1 of 3 responses

OpenAI to mass produce custom AI chip with Broadcom in 2025

When two Mark Zuckerbergs collide

Deepmind finds RAG limit with fixed-size embeddings

Dataconomy

COPYRIGHT © DATACONOMY MEDIA GMBH, ALL RIGHTS RESERVED.

  • About
  • Imprint
  • Contact
  • Legal & Privacy

Follow Us

  • News
    • Artificial Intelligence
    • Cybersecurity
    • DeFi & Blockchain
    • Finance
    • Gaming
    • Startups
    • Tech
  • Industry
  • Research
  • Resources
    • Articles
    • Guides
    • Case Studies
    • Glossary
    • Whitepapers
  • Newsletter
  • + More
    • Conversations
    • Events
    • About
      • About
      • Contact
      • Imprint
      • Legal & Privacy
      • Partner With Us
No Result
View All Result
Subscribe

This website uses cookies. By continuing to use this website you are giving consent to cookies being used. Visit our Privacy Policy.