Hopsworks is the most effective feature platform for designing and operating feature pipelines, training pipelines, and inference pipelines. Runs out of the box with your existing pipelines, so you don’t have to redesign your pipelines to work with Hopsworks.
Feature engineering at reasonable scale. Bring your own code with you, use any popular library and framework in Hopsworks.
Role-based access control, project-based multi-tenancy, custom metadata for governance.
Feature Engineering at scale, and with the freshest features. Batch or Streaming feature pipelines.
Your cloud, your infrastructure, on-premise or anywhere else; managed clusters on AWS, Azure, or GCP.
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Use Python, Spark or Flink with the highest performance pipelines for reading and writing features.
Enterprise Support available 24/7 on your preferred communication channel. SLOs for your feature store.
Read our docs to find out more.
What rhymes with Friday more than beer tasting?
New Hopsworks beers are coming... 😏
https://t.co/Oy039vWrHP
Learn to develop machine learning models without spending extra resources on computation and development with the new
@hopsworks API "feature view".
https://t.co/GG3bXofI1H
Thank you to
@hopsworks for their Gold Sponsorship and for helping support PyData Global 2022!
Join us:
https://t.co/9zLPFq5LVr
#python #data #datascience #dataanalytics #tech
https://t.co/eTTRaTJtow
Join
@jim_dowling at #PyConIe this Sunday as he discusses Data Validation for Machine Learning!
#MachineLearning #PyData
https://t.co/SA8beWnPyA
https://t.co/blYSC06uNu
Are you in Dublin this weekend? You are in luck. We'll be at
@PythonIreland with
@jim_dowling: 'Data Validation for ML using Great Expectations and Hopsworks'. We'll cover the concepts of Great Expectations and how you can leverage them in a feature store
https://t.co/z5C0dqgvoF
We received an incredible gift!!! Thanks to the Semantic Layer Summit,
@AtScale, for your note, and congratulations on an amazing Summit!
Watch
@jim_dowling's talk "Feature Store and the Semantic Layer" on demand!
📹
https://t.co/pPAnW80aKr
https://t.co/G2oks9dQUe
Making some new friends at
@pydatanyc - something might be stacking up soon -
@noteable_io x
@hopsworks?
https://t.co/Fk6QqdvxXk
hopsworks: Hopsworks - Data-Intensive AI platform with a Feature Store
⭐️ 812
#devopskhan #aws
https://t.co/I0UGidZSKP
Discover how #FeatureStores and Model Serving platforms can be integrated to enable real-time #machinelearning applications.
Here are the slides
@jim_dowling shared in the latest
@odsc webinar ⬇️
https://t.co/zQUAtBSxO1
second workshop of the day that involves
@huggingface Spaces &
@Gradio, delivered by
@jim_dowling 🤩 check out his free course on serverless ML here 👉🏼
https://t.co/98qP0sHXiB
https://t.co/sTdaEmGbAw
🤔 Think about building your own feature store? Here are the steps you need to think about ⬇️
We are here, and ready, at
@PyData NYC! Come and see hi 🔥
https://t.co/lk8LVWiv8V
Wanna build this system?
Then you need a serverless Feature Store, like
@hopsworks
→ It is 100% Python 🐍
→ Great tutorials and documentation 📚
→ 10GB of free storage, so you build this project for free 😎
Click on this link to register for FREE ↓
https://t.co/3S6qDS6B0L
Good news to all our
@pyconse attendees!
@jim_dowling will host a webinar: 'Build ML Systems with just Python and free Serverless Services.' We will build an end-to-end ML system that predicts wave heights at a beach in only Python.
🚀 TOMORROW AT 2PM!
https://t.co/ZP4zKQDNLN
Get started with
@RonDB_ai with #DockerCompose. We created an option for creating a RonDB cluster locally using Docker Compose.
Learn how to use this repository to create a cluster and run benchmarks on it ⬇️
https://t.co/CVreRqadQU
Anytime! Watch #FSS2022! 🚀
We hosted an amazing panel moderated by
@jim_dowling from
@hopsworks. 'APIs for Feature Stores' discussed the historical evolution and the future of APIs for feature stores.
⚡️
https://t.co/GhkMv3F4Ss
https://t.co/NGNd2B78ZP
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