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Snowflake Performance Automation and Tuning 

  • Offered bySnowflake

Snowflake Performance Automation and Tuning
 at 
Snowflake 
Overview

Gain a comprehensive overview of Snowflake Performance Automation and Tuning

Duration

3 days

Mode of learning

Online

Official Website

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Credential

Certificate

Snowflake Performance Automation and Tuning
 at 
Snowflake 
Highlights

  • Earn a certificate after completion of the course
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Snowflake Performance Automation and Tuning
 at 
Snowflake 
Course details

Skills you will learn
Who should do this course?
  • Technical Team Leads
  • Data Architects
  • Snowflake Administrators
  • Data Engineers
  • Data Application Developers
What are the course deliverables?
  • Work effectively and efficiently with the key capabilities and best practices behind Snowflake’s Cloud Data Platform three-tiered architecture designed for performance and scale
  • Apply the right set of Snowflake-provided tools for performance assessment and optimization
  • Use Snowflake’s tuning methodology on established performance features, including best practices and avoiding pitfalls to work efficiently with the platform
  • Explore emerging performance features with suitable use cases and adoption of best practices
More about this course
  • This three-day accelerated course presents key performance capabilities, Snowflake best practices, and tuning techniques that are designed to help participants to use Snowflake’s Cloud Data Platform to develop diverse, high-performance workloads
  • The course illustrates performance design best practices and pitfalls so participants are prepared to apply the methodology and features to their own diverse workloads

Snowflake Performance Automation and Tuning
 at 
Snowflake 
Curriculum

Overview and Architecture

Overview

Snowflake Architecture Review

Cloud Services Layer

Performance Diagnostic and Tuning Toolset

Query Profile

Explain Plan

Query Pruning

Data Zones

Data Zones

Tuning for the Raw Data Zone

Bulk Loading Data

Transforming Data on Load

Continuous Data Loading

External Tables and Data Lakes

External Tables

Data Lake

Snowflake Recommendations for External Tables and Data Lakes

Query Processing and Execution

Optimization Principles and Techniques

Query Processing and Optimizations

Snowflake Query Best Practices and Tuning

Order By Tuning Scenarios

Snowflake SQL Query Best Practices: Searching and Filtering

Snowflake SQL Best Practices: Multi-step Advanced SQL

Subquery

Subquery Tuning

Snowflake Performance Automation and Tuning
 at 
Snowflake 
Entry Requirements

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Conditional OfferUp Arrow Icon
  • Not mentioned

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Snowflake Performance Automation and Tuning
 at 
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