Snowflake Course

Dr. Emily Carter

AI Research Scientist

Module 1: Cloud Data Warehousing Concepts

  • Introduction to Data Warehousing & Modern Cloud Platforms

  • Traditional vs. Cloud Data Warehousing

  • Snowflake Overview & Key Features (Elasticity, Pay-per-use, Security)

  • Data Warehousing on Multi-Cloud (AWS, Azure, GCP)

  • Hands-on Labs:

    • Set up a Snowflake trial account

    • Load sample data into Snowflake warehouse

Module 2: Snowflake Architecture (Virtual Warehouse, Storage, Compute)

  • Snowflake Multi-Cluster Shared Data Architecture

  • Virtual Warehouses: Sizing, Scaling, Cost Management

  • Data Storage Layers & Data Compression

  • Secure Data Storage and Access Controls

  • Hands-on Labs:

    • Configure and manage virtual warehouses

    • Load structured/semi-structured data (CSV, JSON, Parquet)

Module 3: SQL Operations, Views, Streams & Tasks

  • Writing SQL Queries in Snowflake

  • Views: Standard vs. Secure Views

  • Time-based Data Pipelines with Streams

  • Tasks for Scheduling & Automation

  • Snowflake Functions & Procedures

  • Hands-on Labs:

    • Create and query views

    • Automate data pipeline with Streams & Tasks

Module 4: Data Sharing, Time Travel & Cloning

  • Secure Data Sharing across Accounts & Regions

  • Data Marketplace in Snowflake

  • Time Travel for Historical Data Recovery

  • Zero-Copy Cloning for Dev/Test Environments

  • Best Practices in Data Governance with Snowflake

  • Hands-on Labs:

    • Share data securely with another Snowflake account

    • Use Time Travel & Cloning for data recovery and testing

Module 5: Capstone Projects

Build a BI Dashboard with Snowflake + Power BI/Looker

  • Load & Transform Business Data in Snowflake

  • Automate ETL Workflow with Streams & Tasks

  • Connect Snowflake with Power BI/Looker for Visualization

  • Deliverable: Interactive BI Dashboard with real-time data from Snowflake

Tools Covered

Class Features

FAQS

Frequently Asked Question

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