Snowflake Data Warehouse

This hands-on course trains you to become a skilled Snowflake Data Engineer and Cloud Data Warehouse Specialist.

You’ll learn Snowflake architecture, data modeling, loading and transformation, performance tuning, and integrations with BI and ETL tools. Real-time projects and practical scenarios make you job-ready from Day 1.

Tech Stack Covered:
Cloud Data Warehouse Basics: Snowflake Architecture Understand Snowflake’s multi-cluster shared data architecture, virtual warehouses, micro-partitions, and how it differs from traditional data warehouses.

Database Objects & Structures

Create and manage databases, schemas, tables, views, and stages. Learn about transient and temporary tables for optimized storage.

Data Loading & Unloading

Master different data ingestion techniques:

Internal & External Stages for data storage

COPY Command for bulk loading

Loading structured & semi-structured data (JSON, Avro, Parquet)

Data unloading to external cloud storage (AWS S3, Azure Blob, GCP)

Snowflake SQL Essentials

Write powerful SQL queries for data manipulation and analytics:

Joins, CTEs, and subqueries

Window functions (RANK, ROW_NUMBER, DENSE_RANK)

Time Travel and Fail-Safe features for historical data retrieval

Performance Tuning & Optimization

Use clustering keys, caching, query profiling, and result reuse for performance improvements.

Snowpipe & Continuous Data Loading

Automate streaming data ingestion using Snowpipe for near real-time analytics.

Security & Access Control

Implement roles, privileges, user management, and multi-factor authentication for data security.

Data Sharing & Marketplace

Enable secure data sharing between accounts and explore Snowflake Data Marketplace for third-party datasets.

Integration & BI Connectivity

Connect Snowflake with popular tools:

ETL Tools: Informatica, Talend, Matillion

BI Tools: Power BI, Tableau

Cloud Storage: AWS, Azure, GCP

Advanced Features

Streams & Tasks for Change Data Capture (CDC)

Materialized views for query performance

Using SnowSQL CLI & Python connector for automation

Tools You’ll Work With:

Snowflake Web UI

SnowSQL (CLI)

ETL Tools (Optional) – Talend, Matillion

BI Tools – Power BI, Tableau