30 Days Snowflake Training Zero to Hero
Shreeshail Deginal
30-Day Snowflake Training Plan
**Objective:** Equip the developer with comprehensive knowledge of Snowflake, covering
both administration and development, with a focus on migration using SSIS.
Week 1: Snowflake Fundamentals & Basics
Day 1: Introduction to Snowflake
● - Cloud data warehousing concepts
● - Key features of Snowflake
● - Architecture overview
● - Editions and pricing
Day 2: Snowflake Setup & Basics
● - Creating a Snowflake account
● - UI walkthrough: SnowSQL, Web UI, and partner integrations
● - Overview of databases, schemas, and tables
Day 3: Storage and Compute in Snowflake
● - Virtual warehouses
● - Data storage tiers and compression
Day 4: Understanding Snowflake Editions
● - Role of compute and storage separation
● - Scaling best practices
Day 5: SQL Essentials for Snowflake
● - Querying data in Snowflake
● - Best practices for SELECT, INSERT, and UPDATE
● - Differences in Snowflake SQL
Week 2: Development with Snowflake
Day 6: Table Design
● - Table types: Permanent, Temporary, and Transient
● - Clustering and partitioning strategies
Day 7: Data Loading Techniques
● - Bulk loading data (COPY INTO, Snowpipe)
● - File formats (CSV, JSON, Parquet)
Day 8: Views and Secure Views
● - Use cases and implementation
● - Row-level security
Day 9: Snowflake Functions
● - User-defined functions (UDFs)
● - Procedures and scripting
Day 10: Working with Semi-Structured Data
● - Handling JSON and VARIANT data types
● - Flattening semi-structured data
Week 3: Administration and Security
Day 11: Role-Based Access Control (RBAC)
● - User and role management
● - Granting and revoking privileges
Day 12: Resource Monitoring
● - Resource monitors
● - Optimizing warehouse usage
Day 13: Snowflake Security
● - Data encryption and masking
● - Network policies
Day 14: Data Sharing
● - Secure data sharing and collaboration
● - Data replication and failover
Day 15: Backup and Recovery
● - Time Travel and Fail-safe
● - Data retention policies
Week 4: Advanced Development & SSIS Integration
Day 16: Advanced SQL Concepts
● - Recursive queries and CTEs
● - Optimizing queries in Snowflake
Day 17: Using Streams and Tasks
● - Real-time data processing concepts
● - Implementing Streams and Tasks
Day 18: Materialized Views
● - Use cases and performance considerations
Day 19: Integrating Snowflake with SSIS
● - Configuring ODBC connectors
● - Designing ETL pipelines for Snowflake
Day 20: Troubleshooting and Optimization
● - Debugging common ETL errors
● - Monitoring SSIS performance
Week 5: Migration and Best Practices
Day 21: Planning for Migration
● - Understanding source schema and data
● - Migration strategies and checklist
Day 22: Data Validation and Testing
● - Validating migrated data
● - Reconciliation techniques
Day 23: Optimizing Snowflake for Migration
● - Query performance tuning
● - Setting up clustering for large datasets
Day 24: Hands-On SSIS Migration
● - Practice session: Migrating data from on-premise DB to Snowflake
Day 25: Post-Migration Activities
● - Validating data integrity
● - Scaling up for production
Week 6: Case Studies and Advanced Topics
Day 26: Case Study: Real-Time Migration Project
● - Discussion of a hypothetical case study
● - Best practices in migration
Day 27: Advanced Administration
● - Cross-region and cross-cloud replication
● - Multi-cluster warehouse setups
Day 28: Using Third-Party Tools
● - Integration with BI tools (Power BI, Tableau)
● - Monitoring tools for Snowflake
Day 29: Custom Use Case Implementation
● - Developer works on a real-world project scenario
Day 30: Wrap-Up and Q&A
● - Recap of all topics
● - Live Q&A and advanced troubleshooting
Learning Materials and Resources
- Snowflake Documentation: https://docs.snowflake.com
- Hands-On Labs: Practice exercises and mock project setups
- Video Tutorials: Official Snowflake webinars and third-party courses
- Cheat Sheets: SQL functions, Snowflake-specific commands