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Snowflake Data Engineer Advanced in 2 Days Course Overview

Snowflake Data Engineer Advanced in 2 Days Course Overview

Snowflake Data Engineer Advanced in 2 Days

The Snowflake Data Engineer Advanced in 2 Days course is designed for professionals looking to deepen their expertise in Snowflake data engineering. This intensive 2-day program delves into advanced topics such as data storage, ingestion, transformation, data platform architecture, and performance optimization. By the end of the course, participants will gain hands-on experience in developing efficient data pipelines, implementing hybrid tables, and using tools like Snowflake Python API and Streamlit for delivery and orchestration. Through a combination of lectures, demos, labs, and discussions, this course offers practical, real-world applications ensuring participants are well-prepared to handle complex data engineering tasks on the Snowflake platform.

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Course Prerequisites

Prerequisites for Successfully Undertaking the Snowflake Data Engineer Advanced in 2 Days Course:

  • Completion of the "Snowflake Data Engineer in 2 Days" course.

These prerequisites ensure that you have the foundational knowledge necessary to understand and engage with the advanced topics covered in this intensive course.


Target Audience for Snowflake Data Engineer Advanced in 2 Days

The Snowflake Data Engineer Advanced in 2 Days course provides an in-depth and role-specific exploration of Snowflake for data engineers, focusing on advanced topics and best practices for analytics and data pipeline development.


  • Data Engineers
  • Data Architects
  • Data Analysts
  • Database Administrators
  • Business Intelligence Developers
  • Data Warehouse Specialists
  • ETL Developers
  • Analytics Engineers
  • Cloud Data Engineers
  • Machine Learning Engineers
  • Big Data Developers
  • Solutions Architects
  • IT Managers and Team Leads overseeing data teams


Learning Objectives - What you will Learn in this Snowflake Data Engineer Advanced in 2 Days?

Introduction The Snowflake Data Engineer Advanced in 2 Days course offers an in-depth exploration into advanced data engineering concepts within Snowflake, focusing on data storage, ingestion, transformation, platform architecture, performance optimization, and orchestration through lectures, demos, labs, and discussions.

Learning Objectives and Outcomes

  • Gain a comprehensive understanding of Snowflake’s architecture and advanced data storage options including Iceberg and Hybrid Tables.
  • Implement effective data ingestion strategies with schema detection and evolution.
  • Develop and manage complex data transformations using User-Defined Functions and Snowpark Stored Procedures.
  • Understand and apply data modeling techniques, including an introduction to Data Vault.
  • Leverage Snowflake’s data governance features such as classification, object tagging, and access history.
  • Optimize performance with Snowflake’s Search Optimization and Query Acceleration Services.
  • Utilize Snowflake’s APIs (Python, SQL) and integrate Streamlit for data delivery.
  • Schedule and manage workflows using Airflow and the Snowflake Python Task API.
  • Achieve observability and cost governance within Snowflake’s platform, including utilizing Snowsight for pipeline observability.
  • Implement logging and tracing mechanisms to maintain operational insights.

Target Audience for Snowflake Data Engineer Advanced in 2 Days

The Snowflake Data Engineer Advanced in 2 Days course provides an in-depth and role-specific exploration of Snowflake for data engineers, focusing on advanced topics and best practices for analytics and data pipeline development.


  • Data Engineers
  • Data Architects
  • Data Analysts
  • Database Administrators
  • Business Intelligence Developers
  • Data Warehouse Specialists
  • ETL Developers
  • Analytics Engineers
  • Cloud Data Engineers
  • Machine Learning Engineers
  • Big Data Developers
  • Solutions Architects
  • IT Managers and Team Leads overseeing data teams


Learning Objectives - What you will Learn in this Snowflake Data Engineer Advanced in 2 Days?

Introduction The Snowflake Data Engineer Advanced in 2 Days course offers an in-depth exploration into advanced data engineering concepts within Snowflake, focusing on data storage, ingestion, transformation, platform architecture, performance optimization, and orchestration through lectures, demos, labs, and discussions.

Learning Objectives and Outcomes

  • Gain a comprehensive understanding of Snowflake’s architecture and advanced data storage options including Iceberg and Hybrid Tables.
  • Implement effective data ingestion strategies with schema detection and evolution.
  • Develop and manage complex data transformations using User-Defined Functions and Snowpark Stored Procedures.
  • Understand and apply data modeling techniques, including an introduction to Data Vault.
  • Leverage Snowflake’s data governance features such as classification, object tagging, and access history.
  • Optimize performance with Snowflake’s Search Optimization and Query Acceleration Services.
  • Utilize Snowflake’s APIs (Python, SQL) and integrate Streamlit for data delivery.
  • Schedule and manage workflows using Airflow and the Snowflake Python Task API.
  • Achieve observability and cost governance within Snowflake’s platform, including utilizing Snowsight for pipeline observability.
  • Implement logging and tracing mechanisms to maintain operational insights.