Content Provider


Trainer Name

Renuga Devi R

Skill Area

Scientific or Technical, Statistics or Research and Development


4.9 (16 Rating)

Course Requirements

 There are no specific prerequisites for this course. However, a basic understanding of data warehousing concepts and familiarity with SQL would be beneficial.

Course Description

The "Snowflake: Revolutionizing Cloud Data Warehousing and Analytics" course provides participants with a comprehensive understanding of Snowflake, a leading cloud data warehousing and analytics platform. In this course, participants will explore the key features, functionalities, and benefits of Snowflake in transforming the way organizations store, manage, and analyze their data.

Throughout the course, participants will learn how Snowflake's unique architecture enables elastic scalability, concurrency, and near-zero maintenance. They will gain hands-on experience in setting up Snowflake, loading and querying data, and leveraging its powerful data warehouse and analytics capabilities.

Course Outcomes

Upon completing the course, participants will be able to:

  • Understand the key features and advantages of Snowflake as a cloud data warehousing and analytics platform.
  • Set up and configure Snowflake for data storage and management.
  • Load data into Snowflake and design efficient data models.
  • Write SQL queries and optimize query performance in Snowflake.
  • Leverage Snowflake's advanced analytics capabilities for data exploration and insights generation.
  • Integrate Snowflake with data integration and visualization tools.

Course Curriculum

1 Introduction to Database, Data Warehouse and Exploring Data Mart
21 Min

1 Key Differences between Data Mart, Data Lake, Exploring Data Warehouse Architecture, Understanding the difference between Data Warehouse Vs Cloud Data Warehouse
35 Min

1 Snowflake Architecture, Scaling Policies and Multi Clustering
30 Min

1 Snowflake: Editions, Pricing, Roles, Snow Pipe, Time Travel, and Fail-Safe
30 Min

1 Setting Up and Hands-on Data Loading in Snowflake: A Practical Guide
1 Hour 15 Min

1 Creating Stage, Copy and Transformations Command
1 Hour 30 Min

1 Loading and Transforming Unstructured Data
1 Hour 10 Min

1. Loading Data
2. Create Stage
3. Copy Command
4. Transforming Data
5. More Transformation Command
6. Creating Stage and Load json File
7. Parse and Analyze json
8. Handling Nested Data
9. Dealing with Hierarchy
10. Snowflake Learners Guide

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Snowflake: Revolutionizing Cloud Data Warehousing and Analytics


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