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Overview of Snowflake – The Cloud Data Platform

This Snowflake training course provides a comprehensive introduction to Snowflake, a cloud-based data platform designed for data warehousing, analytics, and data sharing. This Snowflake course covers the core features, architecture, and functionalities of Snowflake, including its unique multi-cluster architecture and its advantages over traditional databases and cloud data warehouses.

Through practical demonstrations, participants will learn how to set up and navigate a Snowflake account, work with databases, schemas, and tables, and perform SQL queries. The course also introduces more advanced features such as Snowflake's powerful time travel capabilities, data sharing features, and integrations with BI tools like Tableau, Power BI, and Looker.

By the end of this one-day beginner-level course, participants will understand how to use Snowflake for managing data, optimizing query performance, and leveraging advanced features for data sharing and analytics.

 

Snowflake Course

Price €0.00

Course Code

GTCSFLK

Duration

1 Day

Course Fee

POA

Accreditation

N/A

Target Audience

  • Data Engineers: Individuals who are looking to learn about cloud data platforms and how to design and manage databases in Snowflake.
  • Data Analysts: Analysts looking to expand their knowledge in using Snowflake for querying, performance tuning, and working with data.
  • Business Intelligence Professionals: BI developers and users who wish to integrate Snowflake with BI tools for better analytics and reporting.
  • IT Professionals: Professionals exploring cloud data platforms and their integration within an organization's infrastructure.
  • Beginners in Cloud Data Warehousing: Anyone new to cloud data platforms or Snowflake and looking to understand its functionalities and benefits for data storage and analysis.

This course is perfect for anyone looking to gain foundational knowledge of Snowflake and how it operates within the broader context of cloud-based data management and analytics.

Attendee Requirements

  • Basic Knowledge of Databases: A general understanding of databases, data warehouses, and SQL queries is beneficial, though not required.
  • Familiarity with Cloud Concepts: An introductory knowledge of cloud computing concepts is helpful for understanding Snowflake’s architecture.
  • Basic SQL Knowledge: While the course will cover SQL queries in Snowflake, familiarity with basic SQL syntax will be advantageous but not necessary.

 

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Course Description

Overview of Snowflake – The Cloud Data Platform

This Snowflake training course provides a comprehensive introduction to Snowflake, a cloud-based data platform designed for data warehousing, analytics, and data sharing. This Snowflake course covers the core features, architecture, and functionalities of Snowflake, including its unique multi-cluster architecture and its advantages over traditional databases and cloud data warehouses.

Through practical demonstrations, participants will learn how to set up and navigate a Snowflake account, work with databases, schemas, and tables, and perform SQL queries. The course also introduces more advanced features such as Snowflake's powerful time travel capabilities, data sharing features, and integrations with BI tools like Tableau, Power BI, and Looker.

By the end of this one-day beginner-level course, participants will understand how to use Snowflake for managing data, optimizing query performance, and leveraging advanced features for data sharing and analytics.

 

Course Outline

Module 1: Introduction to Snowflake
•    What is Snowflake?
•    Why Snowflake? (Comparison with traditional databases & cloud-based data warehouses)
•    Key Features and Benefits
•    Snowflake Architecture Overview

  • Multi-Cluster Shared Data Architecture
  • Storage, Compute, and Services Layers


Module 2: Getting Started with Snowflake
•    Creating a Snowflake Account
•    Snowflake Editions (Standard, Enterprise, Business Critical, etc.)
•    Navigating the Snowflake Web Interface
•    Understanding Snowflake Roles and Access Control


Module 3: Snowflake Database and Schema Design
•    Understanding Databases, Schemas, and Tables
•    Working with Staging Areas
•    File Formats Supported (CSV, JSON, Parquet, etc.)
•    Data Loading Options

  • COPY INTO Command
  • Using Snowflake Stages
  • Snowpipe for Continuous Data Ingestion


Module 4: Querying Data in Snowflake
•    Writing SQL Queries in Snowflake
•    Best Practices for Query Optimization
•    Virtual Warehouses & Auto-Scaling
•    Performance Tuning Techniques
•    Caching Mechanism in Snowflake


Module 5: Advanced Features & Integrations
•    Time Travel & Zero-Copy Cloning
•    Data Sharing & Secure Data Exchange
•    Snowflake Marketplace Overview
•    Connecting Snowflake with BI Tools (Tableau, Power BI, Looker, etc.)

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