Snowflake Performance Automation & Tuning

In this accelerated course presents the key performance capabilities, Snowflake best practices, and tuning techniques that are designed to help participants to use Snowflake Cloud Data Platform to develop diverse high-performance workloads. The course illustrates performance design best practices and pitfalls so that participants are prepared to apply the methodology and features to their own diverse workloads.
The course is delivered on the latest version of Snowflake Cloud Data Platform with new performance features and some emerging features in public preview.
This course will consist of lectures with many practical examples in instructor-led demos, followed by hands-on exercises. The course is designed to provide participants with the following acquired skills.

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In this accelerated course presents the key performance capabilities, Snowflake best practices, and tuning techniques that are designed to help participants to use Snowflake Cloud Data Platform to develop diverse high-performance workloads. The course illustrates performance design best practices and pitfalls so that participants are prepared to apply the methodology and features to their own diverse workloads.

The course is delivered on the latest version of Snowflake Cloud Data Platform with new performance features and some emerging features in public preview.

This course will consist of lectures with many practical examples in instructor-led demos, followed by hands-on exercises. The course is designed to provide participants with the following acquired skills.

 

 

Learning Objectives:

 

  • Work effectively and efficiently with the key capabilities and best practices behind Snowflake Cloud Data Platform’s three-tiered architecture designed for performance and scale
  • Apply the right set of Snowflake-provided tools for performance assessment and optimization
  • Use Snowflake 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
  • Formulate diverse high performance and efficient workloads including data transformations, analytic applications, and data sharing.
  • Achieve cost optimization by working effectively and monitoring Snowflake Cloud Data Platform
 

Course content

 

Performance Built from Ground-up in Snowflake Architecture
  • Automatic micro-partitioning
  • Natural data clustering
  • Workload segmentation
  • Vectors of compute scaling
  • Understand what the execution engine can do for you
  • Understand what the optimizer can do for you
  • Lightning fast metadata service
  • Caching features
Snowflake Performance Diagnostic and Tuning Toolset

Snowflake toolset spanning from detailed micro-partitioning level, all the way to system and account level

  • Query profile and explain plan
  • Query profile and query scenarios
  • Explain plan and query scenarios
  • Understanding micro-partitioning and statistics
  • Assessing clustering quality
  • Using INFORMATION_SCHEMA functions and account usage share database
  • Common investigation scenarios
Best Practices across Snowflake Data Platform
  • Writing effective queries
  • Scaling up, right-sizing warehouse, and concurrency
  • Metadata operations and optimizations
  • Connectors and data science interfaces [Spark, Python, ARROW, ETL Tools]
Best Practices for Raw Data Zone
  • Snowflake as a data lake
  • Batch data ingestion and DML
  • Streaming ingestion
Best Practices for Conformed Data Zone
  • Incremental data processing and CDC
  • Evaluating data formats and semi structured data
  • Data engineering pipelines
  • Data clustering and tuning
Best Practices for Modeled Data Zone 
  • Materialized views and use cases
  • High performance query features
  • Data unloading
  • Best practices for BI tools and data applications
Emerging Performance Features 
  • Highlighted preview features and appropriate use cases
  • Explore adoption best practices for new features
Monitoring and Optimizing Costs 
  • Virtual warehouse compute
  • Serverless compute
  • Cloud services metadata operations
  • Storage
  • Replication
  • Data transfer

 

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Course Prerequisites

 
  • This course is designed for participants with extensive hands on experience with Snowflake or participants that have taken other relevant Snowflake courses such as Snowflake Fundamentals or Snowflake Advanced.

Who can attend

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

Number of Hours: 30hrs

Certification

SnowPro Advanced: Architect 

Key features

  • One to One Training
  • Online Training
  • Fastrack & Normal Track
  • Resume Modification
  • Mock Interviews
  • Video Tutorials
  • Materials
  • Real Time Projects
  • Virtual Live Experience
  • Preparing for Certification

FAQs

DASVM Technologies offers 300+ IT training courses with 10+ years of Experienced Expert level Trainers.

  • One to One Training
  • Online Training
  • Fastrack & Normal Track
  • Resume Modification
  • Mock Interviews
  • Video Tutorials
  • Materials
  • Real Time Projects
  • Materials
  • Preparing for Certification

Call now: +91-99003 49889 and know the exciting offers available for you!

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