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Querying Data with Snowflake

by Mohit Batra

In this course, you’ll learn how to query data in Snowflake using various query constructs and built-in functions - like Scalar, Aggregate, Analytic, Window, Table & Semi-structured functions - to clean up, transform, and analyze data.

What you'll learn

Snowflake is one of the most popular cloud data platforms. It allows data storage, data processing, and analytics at a massive scale, with extremely less administrative effort. And one of the key areas is to effectively query the data. In this course, Querying Data with Snowflake, you’ll learn how to use various query constructs and built-in functions in Snowflake, to clean up, transform, and analyze data. First, you’ll learn about different querying options in Snowflake and how to explore data using SnowSQL and Snowsight. Then, you’ll discover how to perform common SQL operations - like using Scalar functions, working with subqueries and CTEs, using joins and set operations, building dynamic queries, and using table functions. Next, you’ll see how to work with various aggregate and analytic functions, including windows, rank-related, and window frame functions and working with various group by extensions. Finally, you’ll see the data protection lifecycle, and how to protect the data using time travel and some quick tips to improve query performance. By the end of this course, you’ll have the knowledge and skills, to Query Data with Snowflake, by using various query constructs and built-in functions.

About the author

Mohit is a Data Engineer, a Microsoft Certified Trainer (MCT) and a consultant. Mohit has 15+ years of extensive experience in architecting large scale Business Intelligence, Data Warehousing and Big Data solutions with companies like Microsoft and some leading investment banks. As an expert in his field, Mohit has often shared his knowledge in Azure, Spark, SQL Server and Power BI at various public forums and as a corporate trainer. Mohit truly loves to teach and enjoys producing high-quality,... more

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