Using AWS Glue and AWS Athena with Snowplow data
Blog post from Snowplow
The guide provides a detailed walkthrough for analyzing Snowplow enriched events stored in Amazon S3 using AWS Glue, emphasizing the potential for expanded usage of Snowplow data through integration with AWS Athena and Redshift Spectrum. It outlines the steps for creating a source table in the AWS Glue Data Catalog, optionally converting data to the Parquet format for performance improvements, and accessing this data via Athena and Redshift Spectrum. The guide highlights scenarios where analyzing Snowplow data on S3 becomes necessary, such as retrieving archived data or conducting large-scale queries without overloading Redshift resources. It also includes prerequisites like setting up AWS Glue, Glue Data Catalog, and necessary IAM roles, while offering practical examples, including schema creation and data querying techniques for extracting specific performance metrics. Additionally, it suggests further exploration of AWS tools and encourages users to consider automating data processing tasks using scheduled or triggered Glue jobs.
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