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Administering Snowflake I Course Overview

Administering Snowflake I Course Overview

Administering Snowflake I Course

Our Administering Snowflake I Course is a comprehensive three-day program designed for database administrators with foundational knowledge of Snowflake. The course covers data loading performance, security, role hierarchy design, and performance tuning. Through lectures, labs, demonstrations, and discussions, participants will gain hands-on experience in managing security, roles, users, and query performance within the Snowflake Data Cloud. Modules also explore data ingestion, semi-structured data, and data governance. By the end of this course, you'll be equipped with the skills to optimize and secure your Snowflake environment effectively, making you an invaluable asset to your team.

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  • Live Training (Duration : 24 Hours)
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Free Pre-requisite Training

Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

Post Training Reports

Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

Class Recordings

Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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Target Audience for Administering Snowflake I

Administering Snowflake I: A comprehensive three-day course designed for database administrators to master Snowflake Data Cloud's security, performance tuning, and data management features.


Target Audience:


  • Database Administrators
  • Data Engineers
  • Cloud Solutions Architects
  • Data Warehousing Specialists
  • IT Security Professionals
  • Data Integration Specialists
  • IT Managers overseeing Data Teams
  • DevOps Engineers
  • System Administrators transitioning to cloud environments
  • Technical Consultants and Advisors in Data Management


Learning Objectives - What you will Learn in this Administering Snowflake I?

Introduction: The Administering Snowflake I course is designed to equip database administrators with comprehensive skills in managing Snowflake environments, focusing on security, performance tuning, and data loading. Over three days, participants will gain hands-on experience through lectures, labs, and discussions.

Learning Objectives and Outcomes:

  • Understand and utilize various clients and interfaces, including SnowSQL.
  • Gain proficiency in managing security aspects, such as access, authentication, and security integrations.
  • Design and implement effective role hierarchies, including user and role management.
  • Master user management with a focus on password policies and session management.
  • Configure and manage Snowflake account structures and virtual warehouse scaling.
  • Work with a variety of database objects like tables, views, and semi-structured data.
  • Efficiently manage data ingestion processes, including bulk loading and error handling.
  • Load and query semi-structured data and understand schema inference and evolution.
  • Create, manage, and query tasks and streams within Snowflake.
  • Enhance query performance by writing efficient queries and utilizing system functions.
  • Implement robust data governance practices, including classification, tagging, and access history auditing.

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