Snowflake 101 - Build & Design Data pipelines on AWS Cloud

Get ready for Cloud Data Warehousing with Snowflake and AWS complete course. Gain familiarity with the course details and topics designed to help you succeed.

This comprehensive course is designed to take you on a journey through the powerful combination of Snowflake and Amazon Web Services (AWS), two industry-leading solutions that together offer a cutting-edge cloud data warehousing platform. Snowflake is renowned for its performance, simplicity, and versatility, while AWS provides a robust and secure cloud infrastructure that supports an array of services.

Learn about Snowflake on AWS with Hands-On Labs

The Cloud Data Warehousing with Snowflake and AWS is a hands-on practice course designed to familiarize you with the core functionality of Snowflake by connecting it with AWS. Through hands-on exercises, you'll gain a thorough understanding of Snowflake's architecture and how it revolutionizes data warehousing in the cloud. You'll explore the seamless integration of Snowflake with AWS services, such as Amazon S3 and Glue, unlocking a world of possibilities for managing and analyzing your data.

The course comprises approximately 20 labs starting from the basics and moving to high levels in terms of complexity.

Who should take this course?

The course is intended for Data engineers responsible for designing, building, and maintaining data pipelines and data warehouses in the cloud. They will learn how to leverage Snowflake and AWS to create scalable and performant data warehousing solutions. Data analysts seeking to enhance their data manipulation and analytics skills using cloud-based tools will find value in this course. They will learn how to work with Snowflake and AWS services to query, transform, and analyze data effectively. IT professionals and cloud architects interested in understanding cloud data warehousing principles, architecture, and implementation using Snowflake and AWS will find this course beneficial.

Requirements

• Basic knowledge of SQL or writing queries in any language

• Scripting in Python (or any language )

• Willingness to explore, learn and put in the extra effort to succeed

• An active AWS Account & know-how of basic cloud fundamentals

Who this course is for:

• Software engineers, aspiring data engineers, or data analysts & data scientists

• Also good for programmers and database administrators with experience in writing SQL queries

What you’ll learn

• Everything needed for Snowpro Advanced Data Engineering certification

• Snowflake as a data-warehouse & automated pipeline within Snowflake ecosystem

• Use AWS Cloud with Snowflake as a data-warehouse

• Integrating real-time streaming data with Kafka and Snowflake

Are there any course requirements or prerequisites?

• Prior programming experience in SQL and Python is a must.

• Prior basic experience or understanding of cloud services like AWS is important

Who this course is for:

• Software engineers, aspiring data engineers, or data analysts & data scientists

• Also good for programmers and database administrators with experience in writing SQL queries