Snowflake Advanced in 3 Days Course Overview

Prerequisites for Snowflake Advanced in 3 Days

To ensure you get the most out of the Snowflake Advanced in 3 Days course, you should have the following background knowledge:

• Basic Understanding of Snowflake: Familiarity with Snowflake fundamentals, including the ability to navigate the user interface and execute basic queries.
• SQL Knowledge: Understanding of basic SQL queries and operations, such as SELECT statements, JOINs, and basic data manipulation.
• General Data Concepts: A foundational understanding of data types, tables, and general data manipulation concepts.

These prerequisites will help you grasp the advanced topics more effectively and make the most of the hands-on labs and exercises included in this course.

Target Audience for Snowflake Advanced in 3 Days

Introduction:

The Snowflake Advanced in 3 Days course equips IT professionals with advanced skills in Snowflake's data manipulation, query constructs, and operational best practices, perfect for enhancing their data management capabilities.

Job Roles and Audience:

• Data Engineers
• Data Scientists
• Database Administrators
• Business Intelligence Analysts
• Data Architects
• Cloud Solution Architects
• Data Analysts
• IT Managers
• Systems Administrators
• DevOps Engineers
• Analytics Professionals
• ETL Developers
• Technical Leads
• BI Developers
• Software Engineers specializing in data
• Enterprise Data Managers

Learning Objectives - What you will Learn in this Snowflake Advanced in 3 Days?

SNOWFLAKE ADVANCED in 3 Days Course

Introduction: This advanced course is designed to provide participants with a comprehensive understanding of advanced data manipulation, specialized table types, sophisticated query constructs, and best practices for optimal performance in Snowflake.

Learning Objectives and Outcomes:

• Gain proficiency with advanced Date and Time data types and Time Series data.
• Understand and manipulate Geospatial Data Types, including Geometry and Geography Data.
• Work effectively with Unstructured Data using advanced concepts and workflows.
• Explore and manage various specialized table types like Event Tables, Dynamic Tables, and Hybrid Tables.
• Master the creation and querying of External Tables and Partitioning techniques.
• Dive into the use of Iceberg Tables within Snowflake for optimized data lake management.
• Implement Schema Inference and Schema Evolution for semi-structured data.
• Utilize advanced Window Functions, including Cumulative and Sliding Window Functions.
• Configure, manage, and utilize Snowflake Alerts and Notifications for effective monitoring.
• Understand and implement Automatic Clustering, including Micro-partition Pruning and Cluster Keys Optimization.