How to use the Data Cloud for Data Science
Data scientists require massive amounts of data to build and train machine learning models. In the age of AI, fast and accurate access to data has become an important competitive differentiator, yet data management is commonly recognized as the most time-consuming aspect of the process.
This white paper will help you identify the data requirements driving today’s data science and ML initiatives and explain how you can satisfy those requirements with Snowflake. You will learn about:
- The role of machine learning in data science
- Consolidating data for machine learning and analytics
- How Snowflake enables efficient, high-speed data prep, as well as connectors to established and emerging data science technologies