čæ”å›žåˆ° Introduction to Modern Data Engineering with Snowflake
Snowflake

Introduction to Modern Data Engineering with Snowflake

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.

ēŠ¶ę€ļ¼šSQL
ēŠ¶ę€ļ¼šData Transformation
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精选评论

PS

5.0čÆ„č®ŗę—„ęœŸļ¼šApr 3, 2025

This is a awesome course that helped me understand the concept of data engineering in snowflake using hands-on practices.

AP

5.0čÆ„č®ŗę—„ęœŸļ¼šMar 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.

AH

5.0čÆ„č®ŗę—„ęœŸļ¼šSep 22, 2024

Great Course to get to know the SnowFlake Data Engineering Ecosystem hands on. Well organized and presented course from Snowflake

ST

4.0čÆ„č®ŗę—„ęœŸļ¼šSep 16, 2024

It gives a overall idea of how to build data engineering at a very short period of time.

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