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Snowflake Performance Automation and Tuning Training

Live Online & Classroom Enterprise Training

Snowflake Performance Automation and Tuning focuses on optimizing query performance, resource usage, and cost efficiency on the Snowflake Data Cloud. It equips learners to automate monitoring, tune workloads, and apply best practices to ensure fast, reliable, and scalable Snowflake environments.

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What is Snowflake Performance Automation and Tuning Training about?

This three‐day accelerated course presents key performance capabilities, Snowflake‐recommended best practices, and tuning techniques to help participants use the Snowflake AI Data Cloud to develop diverse, high‐performance workloads. The course illustrates Snowflake‐recommended performance design best practices and how to identify pitfalls so participants can apply the methodology and features to their varied workloads. The course is delivered on the latest version of the Snowflake AI Data Cloud, including new performance features and emerging features in public preview. This course consists of lectures with many practical examples in instructor‐led demos, followed by experimental exercises.

What are the objectives of Snowflake Performance Automation and Tuning Training ?

  • Work effectively and efficiently with the key capabilities and best practices behind Snowflake’s AI Data Cloud architecture which is designed for performance and scale.
  • Apply the appropriate Snowflake‐provided tools for performance assessment and optimization.
  • UseSnowflake’s tuning methodology on established performance features, including recommended best practices and avoiding pitfalls to work efficiently with the platform.
  • Explore emerging performance features with suitable use cases and adoption of recommended best practices.
  • Formulate diverse, high‐performance, and efficient workloads, including data transformations, ana lytic applications, and data sharing.
  • Achieve cost optimization by working effectively and monitoring the Snowflake AI Data Cloud.

Who is Snowflake Performance Automation and Tuning Training for?

  • Data Application Developers
  • Data Architects
  • Data Engineers
  • Snowflake Administrators
  • Technical Team Leads

What are the prerequisites for Snowflake Performance Automation and Tuning Training?

  • Recommended completion of the “Snowflake Multi‐Factor Authentication (MFA) Essentials” free on‐demand course.
  • Completion of “Snowflake Fundamentals,” “Snowflake Advanced,” or equivalent Snowflake knowledge.

Available Training Modes

Live Online Training

Course Outline Expand All

Expand All

  • QueryOptimizations
  • QueryExecution
  • Filtering Data
  • Joining Data
  • Aggregating, Ordering, and Grouping Data
  • Subqueries and CTEs
  • Estimating and Sampling
  • Virtual Warehouse Types
  • Virtual Warehouse Settings
  • Monitor Virtual Warehouse Efficiency
  • Overview
  • Evaluate Ordering (Clustering)
  • Implement and Test Cluster Keys
  • Create a Cluster Key
  • Monitor Clustering Cost
  • Clustering: Common Misconceptions
  • WhyMaterialized Views?
  • Monitor Materialized Views
  • Create Dynamic Tables
  • Monitor Dynamic Tables
  • Dynamic Tables vs. Materialized Views
  • Overview
  • HowitWorks
  • AddaSearch Optimization
  • Monitor Search Optimization Cost
  • Overview
  • Identify Eligible Queries
  • Configure Query Acceleration
  • Monitor Query Acceleration
  • Hybrid Tables Overview and Performance
  • Accessing External Data
  • Apache Iceberg™ Tables in Snowflake Overview and Performance
  • Memoizable Functions Overview and Performance
  • Finding Trouble in the Query_History
  • Finding Problematic Query Operators
  • Finding Patterns and Trends in Queries
  • Finding Inefficiencies

Who is the instructor for this training?

The trainer for this Snowflake Performance Automation and Tuning Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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