Snowflake - Program-Participants

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Equips learners with the skills to manage and utilize Snowflake, a cloud-based data platform for data warehousing, analytics, and sharing. It covers core concepts such as architecture, data storage, query optimization, security, and integration with various tools

Program Framework & Schedule

Course Content

Module 1: Introduction to Snowflake (Basics)

Overview of Cloud Data Warehousing
Key Features of Snowflake
Snowflake Architecture: Shared Data, Compute, and Storage
Setting Up a Snowflake Account
Navigating the Snowflake Web Interface
Key Terminologies: Databases, Schemas, and Tables

Module 2: Data Loading and Transformation

Introduction to Data Staging
Loading Data into Snowflake (Using COPY Commands)
Working with File Formats (CSV, JSON, Parquet, etc.)
Data Transformation Using SQL
Understanding Time Travel and Data Retention

Module 3: Querying and Performance Optimization

Writing Complex Queries in Snowflake
Using Functions and Joins Effectively
Query Caching for Performance Optimization
Virtual Warehouses: Scaling and Resource Management
Partitioning and Clustering Data for Faster Queries

Module 4: Snowflake Security and User Management

Role-Based Access Control (RBAC)
Setting Up Users, Roles, and Privileges
Securing Data with Encryption
Configuring Data Sharing and Permissions

Module 5: Advanced Data Handling

Working with Streams and Tasks for Continuous Data Pipelines
Materialized Views: Usage and Optimization
Unloading Data from Snowflake
Data Replication Across Regions
Real-Time Data Sharing with External Users

Module 6: Integration with External Tools

Connecting Snowflake with BI Tools (Tableau, Power BI, etc.)
Integration with Python, Spark, and Other Data Frameworks
Using Snowflake with ETL/ELT Tools (DBT, Informatica, etc.)
API Usage for External Application Development

Module 7: Advanced Performance Tuning

Query Profiling and Optimization Techniques
Managing Workloads with Resource Monitors
Data Partitioning and Clustering Best Practices
Handling Large-Scale Data Loads

Module 8: Snowflake Best Practices and Use Cases

Data Governance and Compliance
Real-World Applications of Snowflake (Analytics, AI/ML)
Best Practices for Snowflake Implementation
Cost Optimization Techniques

Capstone Project

End-to-end implementation of a real-world data solution using Snowflake, including:
- Data ingestion and transformation
- Performance optimization
- Integration with external tools
- Data security and sharing

Program Framework & Schedule

Course Content

Module 1: Introduction to Snowflake (Basics)

Module 2: Data Loading and Transformation

Module 3: Querying and Performance Optimization

Module 4: Snowflake Security and User Management

Module 5: Advanced Data Handling

Module 6: Integration with External Tools

Module 7: Advanced Performance Tuning

Module 8: Snowflake Best Practices and Use Cases

Capstone Project

Total Program Fee:

INR 25,000/-

INR 2,50,000/-

Eligibility Criteria

Age

Technical Requirements

Education

Other Key Qualities

Language Skills

Coding Experience

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