Enroll Course: https://www.coursera.org/learn/data-engineering-snowflake
The explosion of data in recent years has made data engineering a critical field for extracting valuable insights. If you’re looking to get hands-on experience building modern, continuous data pipelines, the “Introduction to Modern Data Engineering with Snowflake” course on Coursera is an excellent choice. This technical, hands-on course focuses on the most practical Snowflake concepts and tools, designed to get you up and running quickly.
The course breaks down modern data engineering using the “Ingestion-Transformation-Delivery” (ITD) framework. You’ll start by understanding the evolution of data engineering approaches and how Snowflake fits into the modern landscape. The initial modules are dedicated to setting up your development environment and building a foundational data pipeline.
A significant portion of the course is dedicated to the ‘Ingestion’ phase. You’ll learn to ingest data into Snowflake at scale using various methods, including the Snowflake Marketplace, Snowsight, the Snowflake CLI, and the crucial `COPY INTO` SQL command. The course also covers ingesting data from external systems via native connectors and optimizing ingestion performance by leveraging virtual warehouses.
The ‘Transformation’ module dives deep into manipulating data within Snowflake. You’ll get hands-on experience with both SQL and Snowpark for Python, and even touch upon Snowpark’s capabilities with Java and Scala. Key concepts like user-defined functions (UDFs), stored procedures, streams, and Snowflake Dynamic Tables are thoroughly explained and practiced. The course even extends to performing transformations outside of Snowflake using Visual Studio Code with Snowflake’s official extension.
Finally, the ‘Delivery’ and ‘Orchestration’ modules focus on automating and delivering your data products. You’ll learn about orchestration and how to add automation to your pipelines using tasks, differentiating between user-managed and serverless tasks. The course guides you through creating tasks to automate stored procedures, linking them into Directed Acyclic Graphs (DAGs) for robust pipeline automation.
Overall, “Introduction to Modern Data Engineering with Snowflake” is a highly recommended course for anyone looking to build practical, efficient data pipelines. Its hands-on approach and focus on core Snowflake functionalities make it an invaluable resource for aspiring and current data engineers.
Enroll Course: https://www.coursera.org/learn/data-engineering-snowflake