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

Anatomy of a Query

QueryOptimizations

QueryExecution

Constructing Performant Queries

Filtering Data

Joining Data

Aggregating, Ordering, and Grouping Data

Subqueries and CTEs

Estimating and Sampling

Virtual Warehouse Optimization

Virtual Warehouse Types

Virtual Warehouse Settings

Monitor Virtual Warehouse Efficiency

Automatic Clustering Service

Overview

Evaluate Ordering (Clustering)

Implement and Test Cluster Keys

Create a Cluster Key

Monitor Clustering Cost

Clustering: Common Misconceptions

Materialized Views

WhyMaterialized Views?

Monitor Materialized Views

Dynamic Tables

Create Dynamic Tables

Monitor Dynamic Tables

Dynamic Tables vs. Materialized Views

Search Optimization Service

Overview

HowitWorks

AddaSearch Optimization

Monitor Search Optimization Cost

Query Acceleration Service

Overview

Identify Eligible Queries

Configure Query Acceleration

Monitor Query Acceleration

Other Performance Considerations

Hybrid Tables Overview and Performance

Accessing External Data

Apache Iceberg™ Tables in Snowflake Overview and Performance

Memoizable Functions Overview and Performance

Looking For Trouble (Issues and Inefficiencies)

Finding Trouble in the Query_History

Finding Problematic Query Operators

Finding Patterns and Trends in Queries

Finding Inefficiencies

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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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