- Machine Learning
- Extract, Transform, Load
- Artificial Intelligence and Machine Learning (AI/ML)
- Data Warehousing
- Data Manipulation
- Data Engineering
- Data Science
- Data Pipelines
- Role-Based Access Control (RBAC)
- SQL
- Stored Procedure
- Data Import/Export
Intro to Snowflake for Devs, Data Scientists, Data Engineers
Completed by 아름 서
January 20, 2025
10 hours (approximately)
아름 서's account is verified. Coursera certifies their successful completion of Intro to Snowflake for Devs, Data Scientists, Data Engineers
What you will learn
Create and manipulate Snowflake's core objects, such as virtual warehouses, databases, schemas, tables, and stages.
Use important Snowflake features and objects, such as time travel, cloning, resources monitors, UDFs, stored procedures, and Snowpark DataFrames.
Understand the basics of Snowflake’s capabilities for data engineering, generative AI, machine learning, and app development.
Skills you will gain
