Snowflake Data Engineer Training

This three-day, role-specific course covers key concepts, features, considerations, and Snowflake best practices through the lens of the data engineering workflow. It is intendedfor participants who will be accessing, developing, and querying datasets for analytic tasks and building data pipelines in Snowflake. This course consists of core data engineering concepts delivered through lectures, demos, labs, and discussions.

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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 daysApril 22, 20250
Virtual3 daysMay 13, 20250
Virtual3 daysMay 27, 20250
Virtual3 daysJune 3, 20250
Virtual3 daysJune 17, 20250
Virtual3 daysJuly 8, 20250
Virtual3 daysJuly 22, 20250

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What You'll learn

In this course, you will:

  • Describe the data engineering workflow and how the Snowflake Data Cloud features support the various components of the workflow.
  • Access Snowflake through the Snowsight UI and by using application methods.
  • Load and unload data sets.
  • Configure Snowflake features to cover a range of data ingestion and processing latencies.
  • Develop applications for Snowflake, including comprehensive ANSI standard SQL support.
  • Employ performance and cost optimization techniques.
  • Use Snowflake’s capabilities to work eectively with structured, semi-structured, and unstructured data in Snowflake.
  • Tune queries and improve performance using advanced techniques such as data clustering and materialized views.
  • Employ Snowflake SQL extensibility features such as user-defined functions and stored procedures.

WHAT EXPERIENCE YOU'LL NEED

We recommend that attendees of this course have:

  • A background in data engineering is required.
  • Completion of “Snowflake Foundations” one-day course or equivalent Snowflake knowledge.

Who should take this course

This course is intended for:

  • Data Analysts
  • Data Engineers
  • Data Scientists
  • Database Architects
  • Database Administrators
  • Data Application Developers

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)

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