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Snowpark for Python
Accelerate the pace of innovation using Python’s familiar syntax and thriving ecosystem of open-source libraries to explore and process data where it lives.
Accelerate your workflow with near-unlimited access to data and data processing power.
Data Scientist School
Rapidly deliver the most predictive power to your machine learning models
Accelerate collecting and processing of internal and third-party data with Snowflake’s Data Cloud. Realize the value of your models with a unified platform that enables cross-functional teams to build scalable data preparation, and model inference pipelines to transform data into actionable business insights.
“Curated, reliable data sets from Snowflake Data Marketplace just make things so much easier, and we’re super excited to leverage those data sets to enhance the performance of our machine learning models.”
Lead Data Scientist, Chipotle
“With Snowflake Data Cloud, we’ve removed data science bottlenecks so every analytics team across Pacific Life can maximize its potential.”
Director of Data and Visualization, Pacific Life
“With Snowflake, we are much faster in developing and recalibrating models and algorithms, and we are able to leverage all of our data with state-of-the-art ML/AI tools to address business challenges and realize new opportunities.”
Senior Data Manager for Big Data and Advanced Analytics, Uniper
“We now have five data science teams across different business units that are doing analysis on top of Snowflake, but we’re not running into any constraints.”
Sr. Director Data & Analytics, Petco
“Getting the best performance out of a risk model through data science is essential to our business. 1% improvement in the area under the curve of a model is equal to $1 million a year.”
Senior Data Engineer, Beacon Street Services
In this ebook, we outline several use cases for Snowpark and show you…
Data scientists require massive amounts of data to build and train machine learning models. In the age of…
In this workshop, you’ll learn the basics of creating an advanced analytics…
Through this two-part series, experts will teach you best practices for features that…
In 2022, six trends have the potential to accelerate ML and move organizations from descriptive and…
Simplify developing data-intensive applications that scale cost-effectively and consistently deliver fast analytics.
Build simple, reliable data pipelines in the language of your choice.
Eliminate data silos and instantly and securely share governed data across your organization, and beyond
Improve data access, performance, and security with a modern data lake strategy.
Enable everyone in your organization with fast access to a single source of data and eliminate the cost, complexity, and latency of your traditional data warehouse.