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.
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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.
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.
The course unfolds in three parts: First, participants learn to use Snowflake’s core objects such as virtual warehouses, stages, and databases. Then they learn about slightly more advanced objects and features such as time travel, cloning, user-defined functions, and stored procedures. Finally, they’re introduced to Snowflake’s capabilities for data engineering, generative AI, machine learning, and app development.
Learners come away equipped to start building with Snowflake and to continue their Snowflake learning journeys. This course is a prerequisite for upcoming Snowflake courses on data engineering, AI, and apps.
What's inside
Syllabus
Snowflake’s Core Objects and Architecture
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.
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Syllabus
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Activities
Organize Previous Knowledge
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Organize notes and assignments from previous courses to refresh your knowledge of data management and analysis.
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Gather materials from previous courses
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Organize materials by topic
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Review your notes and assignments
Practice SQL Queries
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Sharpen your SQL skills by practicing data querying and analysis tasks.
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SQL
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Find practice problems or exercises
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Practice writing and executing SQL queries
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Review your results and identify areas for improvement
Show all two activities
Organize Previous Knowledge
Show steps
Organize notes and assignments from previous courses to refresh your knowledge of data management and analysis.
Show steps
- Gather materials from previous courses
- Organize materials by topic
- Review your notes and assignments
Practice SQL Queries
Show steps
Sharpen your SQL skills by practicing data querying and analysis tasks.
Browse courses on
SQL
Show steps
- Find practice problems or exercises
- Practice writing and executing SQL queries
- Review your results and identify areas for improvement
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