back chevron
Back to Events
back chevron
Back to Events

Leverage your Snowflake, BigQuery, Redshift Data Warehouse with a Real-Time Feature Store

Leverage your Snowflake, BigQuery, Redshift Data Warehouse with a Real-Time Feature Store
location marker
Online
calendar icon
September 21, 2022
clock icon
6:00 pm
-
6:30 pm
CEST

Python centric APIs, time travel, statistics, search and data validation

Hopsworks feature store can be configured to leverage the content of data warehouses to simplify the data science workflow. For data scientists, using data directly from a data warehouse presents three challenges: data in the data warehouse is often updated making it impossible to reproduce previously generated training data and previous experiments. Data warehouses often lack the historical view of the data, leaving to data scientists the chore of building it. Finally productionizing a model often requires building additional pipelines to make the same data available in a low latency database for online serving.

In this talk we will discuss how Hopsworks can be connected to existing cloud native data warehouses like Snowflake, Redshift and BigQuery. We will show how to use data warehouses as a source of data to build historical and reproducible training dataset. We will show how to leverage the core functionalities of Hopsworks: Python centric APIs, time travel, statistics, search and data validation to build historical, clean and reproducible dataset to train and productionize machine learning models.

Thank you for registering! 
Oops! Something went wrong while submitting the form, please check your details again.

Tags

You might also be interested in:

Try now free

The Feature Store is the essential part of AI infrastructure that helps organisations bring modern enterprise data to analytical and operational ML systems. It is the simplest most powerful way to get your models to production. From anywhere, to anywhere.From months, to minutes.