September 2022
Intermediate to advanced
8h 47m
English
Closed Captioning available in English
Overview
In this 8 hr course, you will master the architecture and practical usage of Snowflake, a powerful cloud data platform. Learn how to build efficient data pipelines using AWS services like Glue and Airflow, and explore functions, security, and data science applications with Snowpark.
What I will be able to do after this course
- Understand the fundamentals and core features of Snowflake and its ecosystem.
- Discover how to integrate Snowflake with AWS tools for building automated data pipelines.
- Gain hands-on experience in performing real-time data streaming with Kafka and Snowflake.
- Learn advanced data transformation methods using Python and PySpark in conjunction with Snowflake.
- Explore Snowpark and its applications in data science and pipeline development.
Course Instructor(s)
Siddharth Raghunath, a seasoned data engineer and architect, has extensive expertise in leveraging cutting-edge cloud and data platforms like Snowflake and AWS. With years of teaching experience and a talent for delivering clear, hands-on instructions, Siddharth crafts courses designed to elevate each learner's technical capabilities and confidence to excel in the data domain.
Who is it for?
This course is best suited for software engineers, data engineers, data analysts, and data scientists aiming to enhance their skill set with Snowflake and AWS. Ideal candidates have a solid foundation in SQL and Python along with intermediate exposure to cloud platforms such as AWS. By taking this course, learners can bridge the gap between their current skills and becoming effective in building and managing data workflows in cloud environments.
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