![]() The key difference is that you can build a crawler with AWS Glue to discover the schema. AWS Glue is similar to Amazon Athena in that the actual data you analyze remains in the data source. AWS Glue builds a catalog that contains metadata about the various data sources. You can direct AWS Glue to a data source, and it can infer a schema based on the data types that it discovers. In this lab, you will work with AWS Glue. This is the variety aspect of the five Vs of big data (Volume, Variety, Velocity, Veracity, and Value). As a data analyst, you might not know the schema for some data sources. Query data in Amazon S3 with Amazon Athena and AWS Glue 1/9 Query Data in Amazon S3 with Amazon Athena and AWS Glue Big data problems often involve a large number of heterogeneous data sources. ![]()
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