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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

Total Program Fee:

INR 25,000/-

INR 2,50,000/-

Eligibility Criteria

Age

Must be between 18 and 45 years old

Technical Requirements

A laptop with a minimum of 8 GB RAM and a reliable internet connection is necessary

Education

Diploma holders in computer science, or graduates/postgraduates from any stream

Other Key Qualities

Pro activeness and determination

Language Skills

Basic English proficiency is required

Coding Experience

No prior coding skills are needed to join the course

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