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Everybody's Introduction to Snowflake

Everybody's Introduction to Snowflake

1h 38mBeginner2023-09-25

Authors

Tim Ngwena

Tim Ngwena

Tableau Visionary, Senior Consultant, Product Manager, Content Creator

Course details

Data—and by extension, databases—rule much of our lives. And if you’re a data analyst or work with data at all, understanding databases is not just a desirable skill, it’s a necessity. In this course, get an introduction to Snowflake, one of the newest databases in the market that’s gaining popularity and a loyal following. Tim Ngwena teaches you about this cloud-based data platform designed to power your data-driven applications and analytics. Tim starts with a look at the basic concepts of databases, before diving into the unique features of Snowflake, including its architecture, how it works, security features, and more. He highlights its core strengths—and details situations when Snowflake outperforms traditional databases.

Skills covered

SnowflakeCloud StorageDatabase DevelopmentDatabase ManagementCloud ServicesCloud ComputingSoftware DevelopmentOne-Off

Concepts

0. Introduction

  • 01 - Getting started
  • 02 - Understanding data and the importance of databases
  • 03 - What is Snowflake and how does it work
  • 04 - Snowflake - Unique selling points for businesses

1. Capturing and Storing Data

  • 05 - Tackling data capture challenges
  • 06 - Data loading and unloading with Snowflake
  • 07 - Supported data sources in Snowflake
  • 08 - Data types and formats in Snowflake
  • 09 - Tools for loading data into Snowflake
  • 10 - Optimal frequency for loading data into Snowflake

2. Working with Your Data

  • 11 - Ensuring security on the Snowflake platform
  • 12 - Implementing data governance on the Snowflake platform
  • 13 - Querying your data
  • 14 - Visualizing your data with Snowsight
  • 15 - Data management in Snowflake
  • 16 - Understanding workloads in Snowflake
  • 17 - The power of data sharing
  • 18 - The Snowflake pricing model

3. Taking Your Data to the Next Level

  • 19 - Navigating data science workloads in Snowflake
  • 20 - Data engineering workloads with Snowflake
  • 21 - A look into the data marketplace
  • 22 - How data applications work with Snowflake

Conclusion

  • 23 - Your next steps with Snowflake

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