Snowflake + Domino: More datasets, more production models, more business impact ... zero DevOps
ON DEMAND | Originally Aired April 28, 2022
Get the recording!
Closed loop data science from data management to model training, deployment, scoring, and monitoring
Data scientists must be both consumers and producers of information for model adoption in business critical workflows. With Snowflake's Data Cloud and Snowpark as a common data platform, modeling efforts easily reach end users in a way that maximize business value.
Bringing Snowflake and Domino together makes it easier for researchers and data scientists to access the high-quality information and powerful capabilities from Snowflake, while taking advantage of Domino’s open, extensible Enterprise MLOps framework.
Together, they empower data scientists to access, transform, manipulate, and compute data inside any code library they choose to use with Domino's Enterprise MLOps platform.
See Domino & Snowflake in action:
Domino Data Connectors
See how to orchestrate workflows, leveraging data from Snowflake's Data Cloud and other datasets for data science experiments.
Snowflake Snowpark
Execute computationally heavy Domino ML workflows directly in Snowflake using Scala, Python, Java, or familiar DataFrame constructs.
Productionalize Models Faster
Maximize data science ROI on Domino's Enterprise MLOps platform with performance, ease of use, governance, and security inside Snowflake's Data Cloud.
Meet the Speakers
Nikolay Manchev
Principle Data Scientist for EMEA at Domino Data Lab
In this role, Nikolay helps clients from a wide range of industries tackle challenging machine learning use-cases and successfully integrate predictive analytics in their domain specific workflows. He holds an MSc in Software Technologies, an MSc in Data Science, and is currently undertaking postgraduate research at King's College London. His area of expertise is Machine Learning and Data Science, and his research interests are in neural networks and computational neurobiology.
Prash Medirattaa
Partner Sales Engineer - AI & ML at Snowflake
Prash is a customer-centric professional with many years of data science, consulting, and solution selling experience with a Master’s degree in Data Science and Management. In current role at Snowflake, he leads the technical go-to-market (GTM) and product integration strategy for Snowflake's machine learning partners.
Align data science workflows with data platform patterns and practices.
Explore related resources
Virtual Event
The Recipe for Breakthrough Innovations
Rediscover Rev3 - Experience highlights on innovation, MLOps and more!
web page
Snowflake and Domino Overview
Accelerate data science innovation through closer collaboration across the data science lifecycle.
Blog
Accelerating model velocity through Snowflake Java UDF integration
Learn how to publish models directly to Snowflake's Data Cloud through Snowpark.