Snowflake Masterclass[stored proc+demos+Best practices+Labs]

Unlock the power of Snowflake cloud database with this comprehensive course! Learn to build robust data pipelines using Airflow, Talend, and Snowflake for efficient ETL processes.

This course is designed for data professionals looking to master Snowflake and leverage its capabilities for handling massive datasets (TB's and PB's). Developed over 4 years of hands-on experience, it goes beyond basic concepts to help you avoid costly mistakes and optimize your Snowflake performance.

What you'll learn:

• Snowflake Fundamentals: Gain a strong foundation in Snowflake architecture, including virtual warehouses, caching, micro-partitions, and clustering.
• Data Loading & Unloading: Master various techniques for loading data into Snowflake, including using internal stages, AWS S3, Google GCS, and Azure. Become proficient with the COPY command and data processing objects.
• Advanced Snowflake Features: Deep dive into key Snowflake features like Snowpipe, data sharing, time travel, fail-safe, cloning, data sampling, tasks, streaming, and materialized views.
• Snowflake Search Optimization: Learn the latest techniques for optimizing Snowflake search.
• Snowflake External Tables: Understand and implement Snowflake external tables.
• Snowflake ROW Access Policy: Implement ROW Access Policy in Snowflake.
• Snowflake Tagging: Learn how to effectively use tagging in Snowflake for better data governance.

Course Structure:

• Module 1: Snowflake Foundations
  • Lectures: 38
  • Real-time Demos: 11
  • Assignments: 10
  • Quizzes: 6
  • Focus: Snowflake environment setup, architecture, caching, clustering, virtual warehouse layer, performance tuning, and database characteristics.
• Module 2: Data Loading Techniques
  • Lectures: 46
  • Real-time Demos: 31
  • Assignments: 14
  • Quizzes: 2
  • Focus: Loading data using internal stages, AWS S3, Google GCS, Azure, COPY command options, and handling unstructured data.
• Module 3: Advanced Snowflake Capabilities
  • Lectures: 45
  • Real-time Demos: 35
  • Quizzes: 3
  • Focus: Snowpipe, data sharing, time travel, fail-safe, cloning, data sampling, tasks, streaming, continuous data load, and materialized views.

Why this course?

This course provides practical insights and real-world examples, sharing lessons learned from common Snowflake pitfalls. You'll gain a deeper understanding of how Snowflake works "under the hood" – knowledge often not found in standard documentation. This will empower you to write efficient queries, avoid costly bills, and fully leverage the power of Snowflake for your data needs.

Ideal for: Data Engineers, Data Architects, ETL Developers, Data Analysts, and anyone working with large datasets in the cloud.

Last Updated: April 9th, 2023 – with new sections on Snowflake Search Optimization, Snowflake External Tables, ROW Access Policy, and Tagging.