Developing Data Science Projects with Snowpark
The emergence of cloud technologies has ushered in a new era of possibilities. With the advent of Data Cloud, a robust platform that unifies data storage, processing, and analysis, data scientists have many opportunities to explore, analyze, and extract meaningful insights from vast datasets. In this intricate digital realm, the role of Snowpark, a cutting-edge data processing framework, becomes paramount. This chapter serves as an illuminating guide, delving deep into developing data science projects with Snowpark, unraveling its intricacies, and harnessing its potential to the fullest extent.
In this chapter, we’re going to cover the following main topics:
- Data science in Data Cloud
- Exploring and preparing data
- Training machine learning (ML) models in Snowpark