From the course: Introduction to Modern Data Engineering with Snowflake
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Data transformations with SQL - Snowflake Tutorial
From the course: Introduction to Modern Data Engineering with Snowflake
Data transformations with SQL
We're going to be building a pipeline that tracks anomalous sales data and daily sales metrics for specific cities where Tasty Byte operates. You've already loaded all of the raw data into your Snowflake account necessary to do this. If you haven't, ensure you complete the corresponding reading in the previous module. With the raw data now in Snowflake, we can begin transforming it. In this video, you'll learn how to use SQL to perform those transformations. Before getting into the details, let's go over a couple of things. First, this isn't a SQL course, so I won't focus on teaching you SQL syntax, but you also don't need to be a SQL expert to follow along. What I'd like for you to focus on is how and where transformations might be performed. You can always look up SQL syntax independently. Second, this isn't a data modeling course. We won't cover the theory behind how to structure or model your data. The goal is simply for you to learn just enough to confidently perform…
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Contents
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What are data transformations?2m 19s
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Data transformations with SQL5m 38s
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Data transformations with snowpark7m 7s
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Computations with user-defined functions7m 15s
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Efficient transformations with streams8m 9s
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Complex procedural logic with stored procedures6m 31s
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Automatic transformations with dynamic tables8m 7s
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Data transformations in visual studio code (optional)4m 34s
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Recap and best practices for data transformations1m 39s
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