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Data Manipulation in Snowflake

基础技能水平
更新时间 2026年1月
Master data manipulation and analysis techniques such as CASE statements, subqueries, and CTEs in Snowflake.
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SnowflakeData Manipulation2 小时7 视频25 练习2,150 经验值4,526成就声明

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课程描述

Transform and categorize data

To handle data big and small, clean or dirty, structured or unstructured, thousands of data teams turn to Snowflake. In this course, you’ll master the skills you need to manipulate and transform data in Snowflake. First, you’ll explore how to implement if-then logic using CASE statements in Snowflake. Using CASE statements, you’ll learn to evaluate different conditions in order to do things like categorize values in a table. And often is won’t be just one condition you’re evaluating; you’ll also get your hands dirty building CASE statements with multiple, complex conditional statements.

Build subqueries and Common Table Expressions (CTEs)

Once you’re confident with CASE statements, you’ll dive head-first into using writing subqueries. Subqueries will give you the power to combine the results on another query in the one that you’re building. You’ll also come to find how common table expressions allow for you to do something quite similar, but this time, it a bit of a more organized way.

By the end of this course, you’ll have the tools you need for manipulating and transforming data in Snowflake, and leveling-up your career as a data professional.

先决条件

Introduction to Snowflake SQL
1

Conditional Logic

Build your data manipulation skills with the basics of conditional logic. Implement if-then logic data using CASE statements, catch edge cases using ELSE, and transform results using tools like aggregation functions.
开始章节
2

Manipulating Data with Subqueries and Common Table Expressions

Data Manipulation in Snowflake
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