Build powerful streaming and batch data pipelines in SQL or Python. Power data engineering for AI and ML, apps and analytics and see 4.6x faster performance while maintaining full governance and control.

2023年8月14日 · Master Python for data processing — Learn to work with a sample data set using Pandas, Numpy, Datetime packages. Once you have the foundational knowledge of how to write queries, and familiarized...

Articles about important cloud data engineering topics, including ETL, data integration, and JSON.

Snowflake Data Engineering from basics to Snowpark! You know what you're looking for, and we have curated paths to help you achieve whatever your learning goals. From skill building badges, to preparation for the SnowPro core certifications we have you covered.

Welcome to the AI Data Cloud Academy for Data Engineering. This academy is designed for data engineers at all levels to learn the latest trends and skill sets in the field.

This Quickstart will cover the basics of data engineering with Snowpark for Python. By completing this guide, you will be able to build a data pipeline to process data from different sources, and periodically run the pipeline to update your data tables in Snowflake.

The course covers Snowflake concepts, features, considerations, and best practices intended for stakeholders who will be accessing, developing, and querying datasets for analytic tasks, and building data pipelines in Snowflake.