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Snowflake

Summary:

 

This course covers the fundamentals and architecture of Snowflake, including its multi-cluster shared data model and separation of compute and storage. You'll learn data loading, querying, and advanced features like Streams and Tasks for continuous data pipelines. Performance optimization techniques and security best practices, such as Role-Based Access Control and encryption, are explored. Real-world use cases like data lakes, real-time analytics, and machine learning pipelines are included.

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Course Specifics:

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Module 1: Introduction to Snowflake

  • What is Snowflake?

  • Key Features of Snowflake

  • Benefits of a Cloud Data Platform

  • Snowflake vs. Traditional Data Warehousing

 

Module 2: Snowflake Architecture

  • Overview of Snowflake’s Multi-Cluster Shared Data Architecture

  • Virtual Warehouses

  • Data Storage and Query Processing

  • Separation of Compute and Storage

 

Module 3: Setting Up Snowflake

  • Creating a Snowflake Account

  • Understanding the Snowflake Interface (UI/CLI/API)

  • Configuring User Roles and Permissions

  • Exploring the Snowflake Marketplace

 

Module 4: Data Loading and Integration

  • Supported Data Formats (CSV, JSON, Parquet, etc.)

  • Data Loading Options (UI, SnowSQL, and COPY Command)

  • Integrating with ETL Tools

  • Data Migration Best Practices

 

Module 5: Querying Data in Snowflake

  • Writing SQL Queries in Snowflake

  • Using Snowflake-Specific SQL Functions

  • Time Travel and Zero-Copy Cloning

  • Managing Query Performance and Caching

 

Module 6: Advanced Features

  • Data Sharing and Collaboration

  • Snowflake Streams and Tasks for Continuous Data Pipelines

  • Secure Data Sharing and Data Masking

  • Working with Semi-Structured Data

 

Module 7: Performance Optimization

  • Best Practices for Warehouse Sizing

  • Query Optimization Techniques

  • Monitoring Usage and Performance Metrics

  • Automating Resource Scaling

 

Module 8: Security and Compliance

  • Role-Based Access Control (RBAC)

  • Encryption in Transit and at Rest

  • Understanding Snowflake Compliance Certifications

  • Data Governance and Auditing

 

Module 9: Practical Use Cases

  • Implementing a Data Lake with Snowflake

  • Real-Time Analytics Use Case

  • Building Machine Learning Pipelines with Snowflake and Python

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