Complete Snowflake Mastery Course

Description

✅ What You Will Learn

📌 Module 0 – Snowflake Data Cloud Demo

📌 Module 1 – Data Warehousing Fundamentals

• Overview of Data Warehousing

• RDBMS vs Hadoop vs Snowflake Architecture

📌 Module 2 – Snowflake Architecture Deep Dive

• Virtual Warehouses

• Time Travel, File Safe, and Table Types

📌 Module 3 – Data Loading & Organization

• Data Lake & AWS S3 Integration

• COPY Command, File Formats, and Error Handling

• Validation Modes & COPY History

📌 Module 4 – Snowflake Tasks & Access Control

• Role-Based Access Control (RBAC)

• Task Automation & Scheduling

📌 Module 5 – SnowSQL & Storage Optimization

• Stage Types & Data Loading from Local Machines

• Micropartitions, Caching, and Storage Integration

📌 Module 6 – Real-Time Data with Snowpipe

• External Tables & Zero Copy Cloning

📌 Module 7 – Data Modeling & ETL

• Slowly Changing Dimensions (SCD 1 & 2)

• Streams for Change Tracking

📌 Module 8 – Semi-Structured Data Handling

• Loading JSON & Parquet Data

📌 Module 9 – Advanced Features

• Views & Materialized Views

• Resource Monitors & External Functions

• Data Sharing & Reader Accounts

📌 Module 10 – Security & Governance

• Dynamic Data Masking & Row-Level Security

📌 Module 11 – Cloud Integrations

• Azure Blob Storage & ADF Integration

📌 Module 12 – Performance Optimization

• Cost Management & Pricing Deep Dive

• Query Performance Tuning & Procedures

📌 Module 13 – New Snowflake Features

• Dynamic Tables & Iceberg Tables

• Email Notifications

📌 Module 14 – Final Project

• End-to-End Snowflake Implementation

👤 Who Is This Course For?

• Data Engineers & BI Developers

• Cloud Engineers & Architects

• Analysts working with large-scale datasets

• Anyone looking to master Snowflake for enterprise data solutions