This course introduces learners to Snowflake as a platform for building applications, data pipelines, and AI models and workflows. It takes them from zero Snowflake knowledge all the way to creating user-defined functions, using a Snowflake Cortex LLM function, editing a Streamlit app, and more.
Intro to Snowflake for Devs, Data Scientists, Data Engineers
Intro to Snowflake for Devs, Data Scientists, Data Engineers
Instructor: Snowflake Northstar
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Sponsored by InternMart, Inc
7,648 already enrolled
Gain insight into a topic and learn the fundamentals.
4.8
(55 reviews)
Beginner level
Recommended experience
10 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
What you'll 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'll gain
- Database Systems
- Data Storage
- Database Architecture and Administration
- Applied Machine Learning
- Data Integration
- Big Data
- Extract, Transform, Load
- Data Modeling
- Data Architecture
- SQL
- Data Processing
- Data Pipelines
- Database Management Systems
- Snowflake Schema
- Information Management
- Databases
- Data Management
- Data Engineering
- Stored Procedure
- Database Development
Details to know
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Assessments
27 assignments
Taught in English
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There are 3 modules in this course
After a very brief intro to the course, learners will create a free trial, open a worksheet, and query sample data. They’ll learn about scaling virtual warehouses and create a virtual warehouse to ingest Tasty Bytes data. They’ll learn about stages, databases, schemas, and tables. They’ll manipulate semi-structured data. They’ll also learn about the different Snowflake architectural layers.
What's included
18 videos11 readings8 assignments
Learners will identify a recently introduced “error” in the data and use time travel to correct it. They’ll learn about permanent, transient, and temporary tables, and cloning. They’ll create resource monitors. They’ll create UDFs, a UDTF, and a SQL stored procedure. They’ll learn about role-based access, the VS Code extension, Snowpark DataFrames, and the Snowflake CLI.
What's included
18 videos10 readings9 assignments
Learners will explore four Snowflake workloads: Data Engineering, Generative AI, Machine Learning, and Applications. After reviewing each workload, they’ll see one aspect of that workload in practice: for DE, ingesting streaming data with Snowpipe; for GenAI, using the Snowflake Cortex LLM function “Complete”; for ML, using Snowpark ML to create an XGBoost model and make predictions about a food truck’s location; and for apps, running a Streamlit app that shows us Tasty Bytes’ daily revenue. They will then learn about the Snowflake Data Cloud.
What's included
21 videos5 readings10 assignments
Instructor
Instructor ratings
5.0 (23 ratings)Offered by
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4.8
55 reviews
- 5 stars
87.27%
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Showing 3 of 55
MH
5
Reviewed on Dec 15, 2024
Well-rounded introduction to Snowflake with helpful hands-on experience working with data and objects.
JM
5
Reviewed on Jan 21, 2025
Fantastic introduction with a passionate, if quirky, host. I loved his enthusiasm and insight for Snowflake and hope to see more of his work in future courses.
YM
5
Reviewed on Jan 14, 2025
5 stars! The instructor is incredible – it felt like having him right there in the room, guiding every step of the way while keeping the experience fun and super engaging.
Recommended if you're interested in Computer Science
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