Snowflake Performance Automation and Tuning Training

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

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We encourage early registration to ensure your place on the dates of your choice

Delivery ModeDurationStart DateCourse FeeReserve your Spot
Virtual3 daysMay 6, 20250
Virtual3 daysMay 20, 20250
Virtual3 daysJune 3, 20250
Virtual3 daysJune 17, 20250

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What You'll learn

In this course, you will:

  • Work effectively and efficiently with the key capabilities and best practices behind Snowflake’s Data Cloud four-tier architecture designed for performance and scale.
  • Apply the appropriate 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.
  • Formulate diverse, high-performance, and efficient workloads, including data transformations, analytic applications, and data sharing.
  • Achieve cost optimization by working effectively and monitoring the Snowflake Data Cloud.

 

WHAT EXPERIENCE YOU'LL NEED

We recommend that attendees of this course have:

This course is designed for participants with extensive Snowflake experience or participants who have completed other relevant Snowflake courses such as “Snowflake Fundamentals” or “Snowflake Advanced”.

Who should take this course

This course is intended for:

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

cLASS dELIVERABLES

• E-Content kit 
• Hands-on labs
• Class completion certificates

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FAQs

Quick answers to popular questions

To enroll in this course, choose the starting date and make an online payment. Once your payment is confirmed, our team will reach out to you.

Wire Transfer, Credit Card, Debit Card, UPI & Purchase Order.

There is no minimum number of candidates required, we are happy to train 1 to 1 . With regards to the maximum number, we can accomodate 30 learners in one batch.

  1. Training Delivered by an Amazon Authorized Instructor.
  2. AWS Content E-Kit
  3. Hands-on-labs for 30 days
  4. Class attendance certificate

You will get the access to course content & lab on first day of your training session.

The course Completion Certificate will be issued to your email id within 2 weeks of completing your course.

A one-day course could be delivered over two half day sessions (4 hours a day), or a three-day course could be delivered over five days (4 hours a day)

To enroll in this course, choose the starting date and make an online payment. Once your payment is confirmed, our team will reach out to you.

Wire Transfer, Credit Card, Debit Card, UPI & Purchase Order.

There is no minimum number of candidates required, we are happy to train 1 to 1 . With regards to the maximum number, we can accomodate 30 learners in one batch.

  1. Training Delivered by an Amazon Authorized Instructor.
  2. AWS Content E-Kit
  3. Hands-on-labs for 30 days
  4. Class attendance certificate

You will get the access to course content & lab on first day of your training session.

The course Completion Certificate will be issued to your email id within 2 weeks of completing your course.

A one-day course could be delivered over two half day sessions (4 hours a day), or a three-day course could be delivered over five days (4 hours a day)