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.
AH
Great Course to get to know the SnowFlake Data Engineering Ecosystem hands on. Well organized and presented course from Snowflake
AP
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.
ST
It gives a overall idea of how to build data engineering at a very short period of time.
PS
This is a awesome course that helped me understand the concept of data engineering in snowflake using hands-on practices.
Showing: 20 of 37
The course was generally comprehensive on an introductory level for the data engineering stack in Snowflake. However, I struggled with the terminology for "modern" data engineering. Modern seems to be synonymous with the Snowflake stack in this context. However, modern could be referred to, more generally, industry-wide objectives (like Gen AI application development and real-time streaming applications). I think it could be helpful to talk about common data engineering workflows and further distinguish Snowflake's superiority. Moreover, many of the questions in the quizzes were very similar, if not simpler, than Snow Pro Core. It would be great to have a bit more coverage on product areas like Dynamic tables. i.e. transparent orchestration, operationally friendly as they are fully observable/manageable in snowsight, easy switching from batch to streaming etc. I thought the course teacher did a great job with covering the essentials and very clearly, comprehensively, and simply describing each feature. 5 stars for the teacher.
Valuable, well-presented Snowflake knowledge that should be part of every employee's internal required training courses. A person walks away with sound all-around knowledge of data pipelines and industry practices. Not only are you shown how to use the common supporting tools, but your workstation is setup and ready so that you can be effective in your development as soon as you finish the course. Love Snowflake Notebooks and how easy and useful Dynamic Tables are!
Introduction to Modern Data Engineering with Snowflake is a well-structured and beginner‑friendly course that clearly explains modern data engineering concepts using Snowflake. The course does a great job of connecting theory with real-world use cases, especially around data pipelines, data silos, orchestration, and cloud-native architecture.
This course offers a solid foundation in Snowflake’s architecture, key features, and practical use cases for modern data engineering. The hands-on labs were particularly helpful in reinforcing concepts through real-world examples. Ideal for anyone looking to modernize their data stack or scale cloud-native data pipelines.
The course is concise and highly effective. The content is very well-structured, making complex concepts accessible. Gilberto Hernandez's expertise shines through, enhancing the learning experience. I rated it 5 stars for its practical approach and valuable insights into data engineering techniques. Highly recommended!!!
This course covers all aspects of data engineering with Snowflake, presented in a well-structured and easy to follow format to get the student started with data engineering in Snowflake. It provides sample code and exercises, as well as links to resources where the student can find more detailed information.
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.
Great Course to get to know the SnowFlake Data Engineering Ecosystem hands on. Well organized and presented course from Snowflake
This a excellent option for actualize your concepts or ideas. with modern framework's and tools of snowflake. 100% rcomende
This is a awesome course that helped me understand the concept of data engineering in snowflake using hands-on practices.
A very well-structured course, the instructor will clearly and legibly present each stage discussed.
Course is very well structured and explained!
Pretty practical and easy to follow.
Excellent introductory course!
Thanks. Very Helpful.
great introduction
interesting Course
Excellent quality!
Very beneficial
Excellent