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Snowflake

The Snowflake course is a comprehensive program designed to equip participants with the skills and knowledge needed to effectively utilize Snowflake, a cloud-based data platform, for data warehousing and analytics. Covering foundational concepts, advanced techniques, and practical applications, this course ensures participants can leverage Snowflake to manage and analyze data in a scalable and efficient manner.

“Dive into the Snowflake course, a comprehensive program designed to empower participants with skills to effectively utilize the cloud-based data platform for data warehousing and analytics.


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What you will learn

By the end of this course, participants will be able to:
  • Gain a deep understanding of Snowflake's architecture and features.
  • Load, unload, and manage data in Snowflake for analytics.
  • Perform complex queries and data transformations using Snowflake SQL.
  • Implement security measures and access control in Snowflake.
  • Share and collaborate on data within and outside the organization.
  • Utilize advanced analytics, machine learning, and optimization techniques in Snowflake.

Beneficial for

This course is suitable for:
  • Data Engineers
  • Data Analysts
  • Data Scientists
  • Database Administrators

Course Pre-requisite

Participants should have a basic understanding of:
  • Basic understanding of SQL and database concepts.
  • Familiarity with cloud computing concepts (beneficial but not mandatory).
  • Enthusiasm for leveraging cloud-based data platforms for analytics.

Course Outline

Snowflake Technical Overview 

Overview of Three-Tiered Architecture 

Scaling Virtual Warehouses Up & Out 

Creating and Managing Virtual Warehouses 

Built-in Design and Comparison to Traditional SQL Commands 

DDL Commands to Work with Dierent Database Objects 

Different Functions and Operators Available in Snowflake 

Account, Session, & Object Parameters 

Managing and Monitoring Multiple Accounts across Lines of Business 

Replication between Regions and Cloud Providers and Failover 

Load Operation Performance 

Data Unloading 

Snowflake DML Commands 

SQL Statements for Transactions in Snowflake 

DML and Clustering Impact on Table Versioning 

Time Travel 

Zero-copy cloning 

Fail-Safe 

Agile Development Use Cases 

Table Design Considerations 

DML and Cloning Considerations 

Storage Optimization 

Query Profile Analysis 

Query Best Practices 

Caching 

Troubleshooting Tools & Tuning Performance Metrics 

Data Clustering 

Search Optimization Service 

Materialized View

Overview of Data Governance 

System Roles & Custom Roles 

Role Hierarchy 

Best Practices 

Column-Level Data Security to Protect Sensitive Data 

Creating Resource Monitors 

Monitoring Compute, Storage and Credits 

Database Object Types and Storage Considerations 

Utility Stored Procedures and Tasks 

Data Sharing Overview 

Secured View 

Secured UDF 

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