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LinkedIn, a business networking site owned by Microsoft Corp., has announced that its Feathr feature store has joined the AI & Data Foundation of the Linux Foundation. Feathr was created by LinkedIn and launched in 2017 to simplify, accelerate, and scale up feature serving in machine learning, particularly for real-time AI applications. According to a blog post by LinkedIn engineers Hangfei Lin and Jinghui Mo, the company’s AI teams use Feathr to store, transform, serve, and distribute features with high throughput and low latency.
Feathr acts as an abstraction layer between the raw data and machine learning models, making it easier to standardise and make machine learning workflows and apps for feature definition, transformation, serving, storage, and access. When Feathr connects to numerous databases, developers can concentrate more on feature engineering while letting Feathr handle data serialisation types. Additionally, it offers options for managing credentials and optimising performance.
Feathr enables authors of machine learning algorithms to create features only once and use them across a variety of contexts, including model training and model serving. Additionally, they have the ability to connect to multiple offline data sources, like data lakes and data warehouses, and convert the data contained within into machine learning characteristics.
Since its debut, Feathr has grown to power numerous AI applications at LinkedIn, where it is employed to manage a large number of features.