Snowflake Data Engineer Training

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INTRODUCING SNOWFLAKE TRAINING FUNDS ➤  Learn more HERE. To purchase, contact us.  COVID-19 UPDATES ➤   Instructor-led classes will be delivered via virtual classroom only.

Snowflake Data Engineer Training

Snowflake Data Engineer Training

Summary

This 3-day role specific course covers the Snowflake key concepts, features, considerations, and best practices intended for key stakeholders who will be accessing, developing, querying datasets for analytic tasks and building data pipelines in Snowflake. These stakeholders often are in the role of database application developer and data engineer. This course will consist of lectures, demos, labs, and discussions.

Duration

3 Days

Objectives

By the end of this course, you will learn:

  • Overview of Snowflake key features and architecture
  • Performance and cost optimization techniques using caching and high performing functions
  • Learn different UI and application methods of accessing Snowflake
  • Use the capabilities and best practices for working with semi-structured data in Snowflake Load, unload data sets and best practices
  • Tune queries and performance using advanced techniques such as data clustering and materialized views
  • Develop application for Snowflake including using comprehensive ANSI standard SQL support
  • Leveraging Snowflake SQL extensibility features such as time travel capabilities, user-defined functions and stored procedures

Audience

Who should attend this course?

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

Prerequisites

Basic knowledge of SQL and Python is helpful.

Setup Requirements

Data Engineer students need...

  • to bring a laptop
  • a Snowflake compatible browser (see options HERE)

Outline

View and download the Data Engineer Course Datasheet.

Upcoming Classes

Online

Instructor-led online training

Location Sep 2021 Oct 2021 Nov 2021 Dec 2021 Jan 2022 Feb 2022 Mar 2022 Apr 2022 May 2022 Jun 2022 Jul 2022 Aug 2022 Sep 2022
Virtual Classroom (AMER/CT) Sep 28 – Sep 30
Nov 9 – Nov 11
Dec 8 – Dec 10
Jan 19 – Jan 21
Virtual Classroom (EMEA/GMT) Oct 19 – Oct 21
Nov 30 – Dec 2

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