Snowflake Python Data Engineering Training

Live Online & Classroom Enterprise Training

Snowflake Python Data Engineering focuses on building data pipelines and transformations using Python within the Snowflake ecosystem. It equips learners to leverage Snowpark, Python APIs, and Snowflake-native tools to create scalable, production-ready data engineering solutions.

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What is Snowflake Python Data Engineering Training about?

This three‐day course is designed for professionals new to Snowflake. It introduces the fundamental concepts of the Snowflake AI Data Cloud and gradually builds toward implementing data engineering work f lows using Python. You begin with the basics—learning how Snowflake works, its architecture, and core features—before progressing to experiential activities with the Snowflake Python API and Snowpark. The course blends instructor‐led lectures, demonstrations, interactive labs, and real‐world discussions to ensure a practical and accessible learning experience

What are the objectives of Snowflake Python Data Engineering Training ?

Explain the distinctive features of the Snowflake 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 in Snowflake as User-Defined Functions (UDFs).
Create and encapsulate reusable logic using stored procedures.
Organize and manage automated workflows using Snowflake tasks and Directed Acyclic Graphs (DAGs).
Automate recurring data operations with Snowflake’s task scheduling capabilities.
Monitor and debug data processes while applying observability techniques in Snowflake and Python environments.
Leverage Anaconda integration in Snowflake to enhance data solutions using specialized Python libraries.

Who is Snowflake Python Data Engineering Training for?

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

What are the prerequisites for Snowflake Python Data Engineering Training?

Recommended completion of the Snowflake Multi-Factor Authentication (MFA) Essentials free, on-demand course.
Basic proficiency in Python programming.
Familiarity with basic SQL concepts.

Available Training Modes

Live Online Training

3 Days

Classroom Training

3 Days

Course Outline Expand All

Expand All

Module 1: Snowflake AI Data Cloud

Storage layer

Compute layer

Cloud services layer

Using Snowsight

Snowflake platform structure

Module 2: Snowflake Python API

Python API concepts

Core classes and operations

Module 3: Role-Based Access Control (RBAC) Overview

Module 4: Data Protection Features

Cloning

Time Travel

Module 5: Metadata and Caching in Snowflake

Metadata

Query result cache

Data cache

Module 6: Introduction to the Data Engineering Workflow

Module 7: Supporting Platform Features

Snowpark

Snowflake Connector for Python

Drivers, clients, and connectors overview

Snowflake Notebook API

Module 8: Ingestion

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

Module 9: Transformation

Creating and managing streams

User-Defined Functions (UDFs) and stored procedures

External network access

Working with unstructured data

Module 10: Orchestration

Creating tasks

Creating Directed Acyclic Graphs (DAGs)

Dynamic tables

Module 11: Delivery

Streamlit

Data sharing

Module 12: Management and Observability

Observability in Snowflake

Outbound notifications

Snowflake alerts

Data pipeline logging

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Who is the instructor for this training?

The trainer for this Snowflake Python Data Engineering Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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