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AWS Glue create_dynamic_frame | About

Create_dynamic_frame is a function used by AWS Glue to create a dynamic DataFrame (DynamicFrame) from different data sources.

AWS Glue is a fully managed ETL service offered by Amazon Web Services.

Our experts say the DynamicFrame is a flexible and schema-aware data structure. It is used in AWS Glue to represent data transformations. Furthermore, it extends the capabilities of a traditional DataFrame by allowing schema flexibility and supporting semi-structured and nested data formats.

In short, we can use the create_dynamic_frame function to create a DynamicFrame from a given data source. Hence, it takes parameters like data source type, data format, and data schema.

Now, let’s take a look at an example usage of create_dynamic_frame in Python:

Here, create_dynamic_frame creates a DynamicFrame from a table in the specified Glue Data Catalog. Additionally, the resulting DynamicFrame can be used for further transformations or data operations using AWS Glue’s APIs and capabilities.

Furthermore, our experts would like to point out that the exact usage and parameters of create_dynamic_frame depend on the programming language and AWS Glue version we use. Let us know in the comments if you need further help with using create_dynamic_frame.

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Conclusion

To conclude, our Support Techs introduced us to create_dynamic_frame and more.