Snowflake - LaunchCode-Code-Connect/CandidateResources GitHub Wiki
What is Snowflake?
Snowflake is a cloud-based data warehousing platform. It allows teams to seamlessly stare data, process queries, and integrate cloud services. It combines a new SQL query engine with an architecture that was built specifically for the cloud.
Why we recommend it
We've seen an increase in job opportunities that ask for candidates with experience in Snowflake. Since most of our web or software developer graduates have worked with SQL, this is a great next step in solidifying that skill set. Learning how to work with Snowflake will help you continue to build modern developer skills that will assist in setting you up for success as you start your career!
Skill Update!
Have you completed one of the courses below or a different course or certification related to AWS? If you are an active candidate working with LaunchCode, please let us know by filling out this form. Our team reviews submissions on a weekly basis and will update your LaunchCode candidate profile with a note to let the Career Outcomes team know that you have completed a new course!
Snowflake Learning Resources
| Course Name | Description | Skills Covered | Time to Complete |
|---|---|---|---|
| Snowflake for Data Analysts | This Pluralsight path will teach you the foundations of working with Snowflake from set up to running queries and developing dashboards. | Data Queries, Views, Data Transformations, Data Visualizations | 5 hours |
| Snowflake in 20 minutes | This official Snowflake course will get you some hands on time with the platform and how it operates. In this tutorial, you'll learn how to create Snowflake objects, install SnowSQL, load CSV files, and write and execute sample queries. | SnowSQL, Snowflake Objects | 30 mins |
| Hands on with Snowflake | This series of videos by Snowflake will take you through all of the set up and foundational knowledge on how to work with Snowflake. It will also unlock some free badges that you can put on your LinkedIn profile! | Data Warehousing, Data Lake, Data Engineering, Data Science | 6-8 hours per course |