Snowflake Cortex Masterclass Hands-On

Overview

IMPORTANT:

This course requires an INTERMEDIATE level and it may NOT be for you if you just recently started with Snowflake and/or Data Science, relational databases, with SQL and/or Python programming. It occasionally deals with advanced notions that are not explained here.

Check the minimum Requirements for this course, and the "What this course is NOT about" section below, before buying this course!

Syllabus

• Introduction to Snowflake Cortex
Overview of Snowflake's Data Cloud capabilities
Understanding the role of Snowflake Cortex in data processing and AI
• Advanced SQL Techniques in Snowflake
Analytical functions and windowing
Advanced Joins and Subqueries
Performance tuning and optimization
• Data Engineering with Snowflake
Data ingestion and storage best practices
Utilizing Snowflake's data pipelines
Advanced data transformation techniques
• Machine Learning with Snowflake Cortex
Introduction to Machine Learning in Snowflake
Feature engineering and management
Using Snowflake with popular ML frameworks (e.g., TensorFlow, PyTorch)
• Integration with Python
Advanced use of Python with Snowflake
Leveraging external functions and UDFs in Python
Real-time data pipelines with Snowflake and Python
• Security and Data Governance
Implementing role-based access control
Data masking and encryption strategies
Ensuring compliance with data governance policies
• Real-world Applications and Case Studies
Industry-specific use cases of Snowflake Cortex
Hands-on projects and problem-solving sessions
• Troubleshooting and Best Practices
Common pitfalls and how to avoid them
Tips for efficient data modeling and processing
• Course Recap and Advanced Resources
Recap of key concepts learned
Additional resources for continued learning and mastery of Snowflake Cortex

Taught by

Cristian Scutaru

Subjects

Business