Simple data preparation for modeling with your framework of choice
White Paper
Your data scientists spend 80% of their time searching for and preparing data. Imagine their business impact without that burden.
Traditional data warehouses and data lakes are too slow and restrictive for data scientists. Snowflake’s cloud data platform is built to seamlessly integrate and support the machine learning libraries and tools data scientists rely on. Our near-unlimited data storage and instant and near-infinite compute resources can rapidly scale to meet the demands of analysts and data scientists.
Stop wasting time searching for hidden data sets. With Snowflake, virtually all your data is immediately accessible.
Data preparation and feature engineering are computationally intensive. Don’t waste any more time waiting in a queue for bottlenecked computing resources.
Machine learning libraries and frameworks are rapidly evolving. Snowflake’s cloud data platform for data science lets you avoid re-platforming and migrating your data unnecessarily. Snowflake provides:
“Snowflake has given us instant access to technical capabilities that, in the past, took months or even years at high prices and low success rates. With Snowflake, we get unlimited data at high performance, delivered instantly.”
Fausto Sosa
VP of Information Technology, CEMEX
“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.”
Volodymyr Sorokoumov
Senior Data Manager for Big Data and Advanced Analytics, Uniper
“DataRobot allowed us to take our historical data in Snowflake and easily train, test, optimize, and deploy business learning models into our production environment to easily create business value.”
Stephen Pidliskey
Senior Data Engineer, Beacon Street Services
“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.”
Stephen Pidliskey
Senior Data Engineer, Beacon Street Services
Simplify developing data-intensive applications that scale cost-effectively and consistently deliver fast analytics.
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.
Accelerate your data science workflows with access to more data, faster feature engineering and direct integrations to leading ML tools.
