- Role-Based Access Control (RBAC)
- Artificial Intelligence and Machine Learning (AI/ML)
- Data Pipelines
- Data Import/Export
- SQL
- Data Science
- Application Development
- Machine Learning
- Data Manipulation
- Data Warehousing
- Database Management
- Extract, Transform, Load
Intro to Snowflake for Devs, Data Scientists, Data Engineers
Completed by Amit Mhamunkar
October 30, 2024
10 hours (approximately)
Amit Mhamunkar'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
