From the course: Introduction to Modern Data Engineering with Snowflake

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Automatic transformations with dynamic tables

Automatic transformations with dynamic tables - Snowflake Tutorial

From the course: Introduction to Modern Data Engineering with Snowflake

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Automatic transformations with dynamic tables

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Earlier, we covered streams, and you learned that streams give you an incredible amount of control over your data transformations. With streams, you can focus on processing incremental changes to an underlying table, but you can go even further by focusing on specific types of changes, too. For example, if you wanted to focus on processing only delete operations against an underlying table, you could do that with a stream, but even with this fine-tuned control, you'll still need to make choices around what you'll do with the data tracked by the stream. And if you have a lot of streams coupled with automation, this can get complex pretty quickly. Depending on what you're trying to do, a dynamic table might be a better option for you. A dynamic table in Snowflake is a special type of table that automatically updates itself with the latest data using a predefined query. This helps ensure that the table always reflects the most current information from its source tables. Unlike a stream…

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