- Data Science
- Stored Procedure
- SQL
- Extract, Transform, Load
- Data Import/Export
- Cloud Development
- Application Development
- Data Storage
- Generative AI
- Data Pipelines
- Data Engineering
- Artificial Intelligence and Machine Learning (AI/ML)
Intro to Snowflake for Devs, Data Scientists, Data Engineers
Completed by Manuel Costan Macareño
August 14, 2024
10 hours (approximately)
Manuel Costan Macareño'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
