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Data Transformation in Snowflake

Learn the essential techniques of data transformation in Snowflake. This course will teach you how to perform data transformations in Snowflake, enabling efficient data preparation for analytics.

Amine Cherrat - Pluralsight course - Data Transformation in Snowflake
Amine Cherrat
What you'll learn

Data analysts often face challenges in efficiently transforming and preparing data for advanced analytics.

In this course, Data Transformation in Snowflake, you’ll gain the ability to transform and prepare data for advanced analytics.

First, you’ll explore using SQL functions to convert data types and format strings in Snowflake.

Next, you’ll discover how to use string functions for text manipulation.

Finally, you’ll learn how to leverage date functions and common table expressions (CTEs) to organize and manage complex queries.

When you’re finished with this course, you’ll have the skills and knowledge of data transformation in Snowflake needed to efficiently prepare data for analytics.

Table of contents

About the author
Amine Cherrat - Pluralsight course - Data Transformation in Snowflake
Amine Cherrat

Amine is an accomplished Data Analyst with over ten years of expertise, he excels in utilizing Python, R, SQL, Power BI, Tableau, QlikView, and Qlik Sense. Renowned for his ability to extract valuable insights from extensive datasets, he adeptly transforms complex data into strategic actions. With a solid commitment to data-driven decision-making, he consistently delivers accurate and efficient results, significantly enhancing client satisfaction. Dedicated to leveraging the transformative power of data, Amine provides actionable insights that drive business success, making him an invaluable asset to any team aiming to harness data for growth.

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