Snowflake Python Data Engineer
Mastering Python Integration with Snowflake: Building High-Performance Data Pipelines, Automation, and Observability
Duration
3 Days (8 hours per day)
Level
Intermediate to Advanced Level
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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.
ACQUIRED SKILLS:
- 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
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- Data Engineers
- Data Scientists
- Data Application Developers
- Database Architects
- Database Administrators
- Data Analysts with programming experience
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- Using Snowsight
- Snowflake Structure
- Python API Concepts
- Core Classes and Operations
- Cloning
- Time Travel
- Metadata
- Query Result Cache
- Data Cache
- Snowpark
- Snowflake Connector for Python
- Drivers, Clients, and Connectors Overview
- Snowflake Notebook API
- Data Loading Objects
- Transformations and Copy Options
- Bulk vs. Continuous Data Loading Approaches
- Semi-structured Data
- Snowpipe
- Snowflake Data Loading Best Practices
- Loading Semi-structured Data
- Dynamic Tables
- Creating and Managing Streams
- UDFs and Stored Procedures
- External Network Access
- Transformations with Unstructured Data
- Creating Tasks
- Creating a DAG
- Streamlit
- Data Sharing
- Observability on Snowflake
- Outbound Notifications
- Snowflake Alerts
- Data Pipeline Logging
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- Basic Python coding proficiency.
- Familiarity with basic SQL.