Snowflake - Cloud Data Warehouse and Data Analytics

Why Choose Garranto Academy for Your Snowflake Training ?

Select Garranto Academy for Snowflake training, offering comprehensive courses that blend theoretical knowledge and practical insights, ensuring you excel in utilizing Snowflake Cloud Data Warehouse for advanced data analytics solutions.

Course Overview:

Snowflake is a cloud-based data platform that allows organizations to store, manage, and analyze their data. In this one-day program, participants will learn about Snowflake's role in the Data Cloud, its cloud-based architecture, and how to create and manage Snowflake database objects. Participants will also learn how to write SQL queries in Snowflake, how to load and query semi-structured data, and how to share data across multiple accounts.

What You'll Learn in Our Snowflake Certification Course ?

Course Objectives:

By the end of this one-day course, participants will:

• Understand the fundamentals of Snowflake and its role in modern data analytics.
• Gain proficiency in creating and managing Snowflake data warehouses.
• Learn how to load, transform, and query data using Snowflake's SQL-based interface.
• Explore advanced Snowflake features such as data sharing and data governance.
• Acquire hands-on experience through practical exercises and real-world scenarios.
• Be well-prepared to implement Snowflake in their data analytics projects.

Prerequisites:

• Basic familiarity with data analytics and SQL concepts is recommended but not required.
• Participants should have access to a web browser for the hands-on exercises.
• No prior experience with Snowflake is necessary.

Course Outlines:

Module 1: Introduction to Snowflake and the Data Cloud

• Overview of Snowflake and its role in the Data Cloud
• Key features and benefits of Snowflake's cloud-based architecture
• Differences between traditional databases and Snowflake

Outcome: Gain a strong foundational knowledge of Snowflake and its role in the Data Cloud

Module 2: Snowflake architecture and data sharing

• Overview of Snowflake's cloud-based architecture
• Separation of computing and storage
• Elastic scalability
• Data sharing and how it enables organizations to securely share data across multiple accounts

Outcome: Understand Snowflake's cloud-based architecture and data-sharing capabilities

Module 3: Snowflake database objects

• Overview of databases, schemas, tables, views, and user-defined functions
• Creating databases and schemas
• Creating tables and views
• Creating user-defined functions

Outcome: Be able to create and manage Snowflake database objects

Module 4: Snowflake SQL

• Basics of writing SQL queries in Snowflake, including SELECT, FROM, WHERE, and JOIN clauses
• Advanced SQL topics such as GROUP BY, HAVING, and ORDER BY clauses, as well as window functions and subqueries

Outcome: Be able to write SQL queries in Snowflake

Module 5: Loading and querying semi-structured data

• Overview of semi-structured data and how Snowflake handles it
• Loading semi-structured data into Snowflake
• Querying semi-structured data using Snowflake SQL

Outcome: Understand how to load and query semi-structured data in Snowflake

Course Outcomes:

By the end of the course, participants will be able to:

• Understand Snowflake's role in the Data Cloud and its cloud-based architecture
• Create and manage Snowflake database objects, including databases, schemas, tables, views, and user-defined functions
• Write SQL queries in Snowflake, including advanced topics such as window functions and subqueries
• Load and query semi-structured data in Snowflake
• Share data securely across multiple Snowflake accounts

Benefits of Implementing Snowflake Cloud Data Warehouse for Data Analytics

Harness the power of Snowflake Cloud Data Warehouse for data analytics, unlocking scalability, real-time insights, and seamless data management for unparalleled business intelligence.

How Snowflake Can Transform Your Data Analytics Workflow ?

Transform your data analytics workflow with Snowflake, redefining data storage, analysis, and collaboration for enhanced agility and decision-making in the evolving landscape of cloud data warehousing.