Introduction to Modern Data Engineering with Snowflake
Introduction to Modern Data Engineering with Snowflake
This course is part of Snowflake Data Engineering Professional Certificate
Instructor: Snowflake Northstar
15,688 already enrolled
Included with
Ask Coursera
144 reviews
Recommended experience
144 reviews
Recommended experience
What you'll learn
How to use Snowflake to ingest data at scale, perform data transformations against data, deliver data products, and orchestrate data pipelines
Skills you'll gain
Tools you'll learn
Details to know
See how employees at top companies are mastering in-demand skills
Build your Software Development expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from Snowflake
There are 5 modules in this course
This is a technical, hands-on course that teaches learners how to build modern and continuous data pipelines with Snowflake. It focuses specifically on the most practical Snowflake concepts and tools to get learners up and running quickly with building data pipelines.
Learners start by learning about the "Ingestion-Transformation-Delivery" framework for modern data engineering, and dive deeper into each component of the framework by learning how to: - Ingest data into Snowflake at scale using a variety of powerful techniques - Perform data transformations with SQL or Snowpark - Extend data transformations with user-defined functions, stored procedures, streams, and Snowflake Dynamic Tables - Deliver valuable data products through Snowflake Marketplace, Streamlit in Snowflake, and Snowflake Native Applications - Orchestrate pipelines using tasks and DAGs Throughout the course, learners follow along with the instructor using a combination of Snowflake, Visual Studio Code, GitHub, and the command line. The course is supplemented with readings containing plenty of resources to level up the learner's understanding of specific concepts. Learners come away understanding how to build end-to-end, continuous data pipelines with Snowflake.
Learners understand how the explosion of data in recent years has led to an increased demand for extracting insights from that data, giving rise to data engineering. They'll understand previous data engineering approaches, modern data engineering approaches using Snowflake, and contextualize data engineering with the Ingestion-Transformation-Delivery ("ITD") framework. They also prepare their development environment and build a simple data pipeline with Snowflake.
What's included
6 videos2 readings1 assignment
6 videos•Total 28 minutes
- The explosion of data and the demand for insights •3 minutes
- What we’ll cover in this course•3 minutes
- Modern data engineering with Snowflake•4 minutes
- You’ve probably done some data engineering in the past•4 minutes
- Preparing your development environment•4 minutes
- Build a really simple data pipeline in Snowflake•10 minutes
2 readings•Total 20 minutes
- How to successfully complete the course•10 minutes
- Have Questions? Join the Q+A Forum for this course•10 minutes
1 assignment•Total 15 minutes
- Module 1 Assessment (Knowledge Check)•15 minutes
Learners learn how to ingest data into Snowflake at scale using various, powerful techniques. They specifically load data into Snowflake using the Snowflake Marketplace, the Snowflake web interface (Snowsight), the Snowflake CLI, and the powerful COPY INTO SQL command. Learners also understand how to ingest data from external systems using Snowflake native connectors, and how to optimize data ingestion by fully utilizing a virtual warehouse.
What's included
9 videos3 readings1 assignment
9 videos•Total 50 minutes
- What is data ingestion?•4 minutes
- Batch ingestion with Snowflake•4 minutes
- Loading data from Snowflake Marketplace•6 minutes
- Loading data using Snowflake’s web interface•7 minutes
- Optimize compute resources for efficient batch ingestion•7 minutes
- Loading data using Snowflake CLI•8 minutes
- Loading data using the COPY INTO command•8 minutes
- Ingesting data from other data systems using connectors•2 minutes
- Recap and best practices for batch ingestion•3 minutes
3 readings•Total 30 minutes
- Scenario briefing and account setup•10 minutes
- Additional resources on batch ingestion with Snowflake•10 minutes
- Troubleshooting errors encountered in Module 2•10 minutes
1 assignment•Total 15 minutes
- Module 2 Assessment (Knowledge Check)•15 minutes
Learners perform data transformations using SQL or Snowpark for Python. Learners also understand that they can use Snowpark to perform data transformations with Java and Scala. They also extend their knowledge of data transformations by learning about, creating, and using user-defined functions (UDFs), stored procedures, streams, and Snowflake Dynamic Tables. They also learn how to perform data transformations using these tools outside of Snowflake, specifically in Visual Studio Code using Snowflake's official extension.
What's included
9 videos1 reading1 assignment
9 videos•Total 50 minutes
- What are data transformations?•2 minutes
- Data transformations with SQL•6 minutes
- Data transformations with Snowpark•7 minutes
- Computations with user-defined functions•7 minutes
- Efficient transformations with streams•6 minutes
- Complex procedural logic with stored procedures•7 minutes
- Automatic transformations with Dynamic Tables•8 minutes
- Data transformations in Visual Studio Code (Optional)•5 minutes
- Recap and best practices for data transformations•2 minutes
1 reading•Total 10 minutes
- Additional resources on data transformations with Snowflake•10 minutes
1 assignment•Total 15 minutes
- Module 3 Assessment (Knowledge Check)•15 minutes
Learners understand what a data product is, and what it means to deliver a data product in the context of data engineering. Learners walk through the flow of delivering a dataset using Snowflake Marketplace, build and share a Streamlit in Snowflake application to deliver insights, and deploy a Snowflake Native Application using the Snowflake CLI.
What's included
5 videos1 reading1 assignment
5 videos•Total 21 minutes
- Delivery of data products•4 minutes
- Data sharing on Snowflake Marketplace•4 minutes
- Streamlit in Snowflake Applications•5 minutes
- Snowflake Native Applications•6 minutes
- Recap and best practices for data product delivery•1 minute
1 reading•Total 10 minutes
- Additional resources on data product delivery with Snowflake•10 minutes
1 assignment•Total 15 minutes
- Module 4 Assessment (Knowledge Check)•15 minutes
Learners understand what orchestration means, and how to add automation to data pipelines using tasks. They specifically learn about user-managed and serverless tasks, and create tasks to automate calls to stored procedures. They also create and link tasks together to form a task graph, or DAG, and execute individual tasks and entire DAGs.
What's included
5 videos3 readings1 assignment
5 videos•Total 25 minutes
- What is orchestration?•5 minutes
- Automation with tasks•8 minutes
- Orchestration with DAGs•8 minutes
- Recap and best practices for pipeline orchestration•1 minute
- Conclusion•4 minutes
3 readings•Total 30 minutes
- Additional resources on orchestration with Snowflake•10 minutes
- Troubleshooting errors encountered in Module 5•10 minutes
- Beyond the course•10 minutes
1 assignment•Total 30 minutes
- Course Assessment (Knowledge Check)•30 minutes
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
Explore more from Software Development
- S
Snowflake
Course
Why people choose Coursera for their career
Learner reviews
- 5 stars
81.94%
- 4 stars
12.50%
- 3 stars
2.77%
- 2 stars
0.69%
- 1 star
2.08%
Showing 3 of 144
Reviewed on Mar 20, 2025
The course is well-structured and provides a clear introduction to creating data pipelines using Snowflake. The instructor presents the material in a straightforward and approachable manner.
Reviewed on Sep 22, 2024
Great Course to get to know the SnowFlake Data Engineering Ecosystem hands on. Well organized and presented course from Snowflake
Reviewed on May 22, 2026
This is a very good course. I came in with some prior knowledge, but it was fragmented. This course brought everything together beautifully.
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
More questions
Financial aid available,