Snowflake Python Data Engineering Training

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Course Overview

This three-day course equips you with the expertise to integrate Python within the Snowflake AI Data Cloud. You will design and deploy high-performance data engineering solutions utilizing the Snowflake Python API and Snowpark. The course combines lectures, demos, interactive labs, and in-depth discussions to ensure a comprehensive learning experience.

Who Should Attend

• Data Engineers
• Data Scientists
• Data Application Developers
• Database Architects
• Database Administrators
• Data Analysts with programming experience

Course Objectives

• Explain the distinctive features of Snowflake’s platform and its integration with Python.
• Configure and establish secure connections to Snowflake using the Snowpark Session object.
• Design, code, and deploy custom Python functions within Snowflake as User Defined Functions (UDFs).
• Create and encapsulate reusable logic using Stored Procedures.
• Organize and manage automated workflows with Snowflake tasks and Directed Acyclic Graphs (DAGs).
• Automate recurring data tasks using Snowflake’s task scheduling capabilities.
• Monitor and debug data processes while implementing observability techniques in Snowflake and Python environments.
• Leverage Anaconda integration in Snowflake to enhance data solutions with specialized Python libraries.

Course Outline