Performing Data Analytic Tasks with Snowflake
Offered By: Pluralsight
Course Description
Overview
Snowflake offers a deep and wide feature set for data analytic tasks. This course will teach you how to perform common tasks such as data sampling, result approximation, compose queries with CTEs, views, subqueries, analytical functions and more.
The Snowflake Cloud Data Platform is a great choice to build a data analysis platform to empower your organization to make better decisions. In this course, Performing Data Analytic Tasks with Snowflake, you’ll learn to perform common data analytic tasks to be ready to tackle your next project and produce better and faster data insights. First, you’ll explore Snowflake’s data sampling and approximation capabilities. Next, you’ll discover common ways to compose complex queries though joins, CTEs and subqueries. Finally, you’ll learn how to use Snowflake’s most useful built-in analytical and window functions. When you’re finished with this course, you’ll have the skills and knowledge of data analytic tasks needed to build your next data solution.
The Snowflake Cloud Data Platform is a great choice to build a data analysis platform to empower your organization to make better decisions. In this course, Performing Data Analytic Tasks with Snowflake, you’ll learn to perform common data analytic tasks to be ready to tackle your next project and produce better and faster data insights. First, you’ll explore Snowflake’s data sampling and approximation capabilities. Next, you’ll discover common ways to compose complex queries though joins, CTEs and subqueries. Finally, you’ll learn how to use Snowflake’s most useful built-in analytical and window functions. When you’re finished with this course, you’ll have the skills and knowledge of data analytic tasks needed to build your next data solution.
Syllabus
- Course Overview 1min
- Data Sampling and Approximation 24mins
- Querying Through Views 22mins
- Composing Complex Datasets 22mins
- Using Built-in Analytical Functions 19mins
Taught by
Warner Chaves
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