Snowflake with AWS/GCP/Azure Training

Description:

This 5-day training equips participants with the knowledge and hands-on skills to use Snowflake, a powerful cloud-native data warehouse built for modern analytics and multi-cloud environments. Beginning with an architectural overview, the course introduces Snowflake’s elastic scalability, separation of storage and compute, and security model that make it unique compared to traditional data warehouses.

Participants will learn to set up environments, load structured and semi-structured data, and perform complex SQL operations. Labs guide learners through Snowpipe for real-time ingestion, Streams and Tasks for pipeline automation, and handling formats like JSON, Parquet, and XML. The program also covers performance tuning techniques, caching strategies, clustering, and micro-partitioning for cost optimization and query acceleration

Beyond core SQL and optimization, the training explores Snowflake’s advanced features, including time travel, zero-copy cloning, fail-safe recovery, and secure data sharing. Participants will also gain exposure to Snowflake’s integration with AWS, GCP, and Azure, as well as connections to BI and ETL tools like Power BI, Python, and Kafka.

By the end of this course, participants will be able to design, implement, and manage enterprise-scale Snowflake deployments, ensure governance and security, and apply best practices for optimizing cost and performance. The program also prepares learners for Snowflake certification pathways and real-world analytics projects.

Duration: 5 Days

Course Code: BDT 519

Learning Objectives:

After this training, participants will be able to:

1. Implement AWS security services (IAM, KMS, CloudTrail)
2. Design secure architectures across AWS services
3. Apply encryption, monitoring, and governance best practices
4. Respond to incidents and manage compliance requirements

1. Data Engineers and Architects
2. BI Developers and Analysts
3. Cloud Data Engineers working on AWS/GCP/Azure
4. Professionals preparing for Snowflake certifications

1. Basic SQL knowledge
2. Understanding of cloud storage (AWS S3, GCS, Azure Blob)
3. Experience with ETL/BI tools is helpful
4. Access to Snowflake trial account

Course Outline:

Module 1: Snowflake Architecture and Overview

1. Environment Setup
2. Snowflake Web Console
3. Architecture Layers

Module 2: Data Loading

1. Bulk and Continuous Loading
2. Stages
3. Snowpipe
4. Streams and Tasks

Module 3: Snowflake SQL

1. DDL/DML
2. Transformations and Validations
3. Advanced SQL Operations

Module 4: Semi-Structured Data

1. Querying JSON, XML, Parquet
2. Unloading Semi-Structured Data

Module 5: Stages

1. Internal and External Stages
2. Best Practices

Module 6: Performance Tuning

1. Query Optimization
2. Explain Plan
3. Caching

Module 7: Clustering and Micro-Partitioning

• Automatic vs Explicit Clustering
• Micro-Partitioning

Module 8: Virtual Warehouses

• Multi-Cluster Warehouses
• Scaling Policies

Module 9: Time Travel, Cloning, and Failsafe

• Data Retention
• Zero-Copy Cloning
• Failsafe

Module 10: Streams and Tasks

• Managing Streams
• Task Dependencies

Module 11: Data Sharing and Cloud

• Secure Data Sharing
• Snowflake Marketplace

Module 12: Security

• Access Control
• Role Hierarchy

Module 13: Integrations

• AWS IAM Roles
• PowerBI
• Python, Kafka

Module 14: Advanced Topics

• Snowpark
• External Functions
• Materialized Views

Module 15: Monitoring and Management

• Resource Monitors
• Cost Governance

Module 16: Pricing and Governance

• Snowflake Pricing
• Row/Column-level Security

Module 17: Best Practices

• Clone Best Practices
• Warehouse Strategies