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Analyze and visualize nested JSON data with Amazon Athena and Amazon QuickSight | Amazon Web Services

May 2022: This post was reviewed for accuracy. Although structured data remains the backbone for many data platforms, increasingly unstructured or semi-structured data is used to enrich existing information or create new insights. Amazon Athena enables you to analyze a wide variety of data. This includes tabular data in CSV or Apache Parquet files, data […]



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Analyze and visualize nested JSON data with Amazon Athena and Amazon QuickSight | Amazon Web Services

https://web.archive.org/web/20230322113154/https:/aws.amazon.com/blogs/big-data/analyze-and-visualize-nested-json-data-with-amazon-athena-and-amazon-quicksight

May 2022: This post was reviewed for accuracy. Although structured data remains the backbone for many data platforms, increasingly unstructured or semi-structured data is used to enrich existing information or create new insights. Amazon Athena enables you to analyze a wide variety of data. This includes tabular data in CSV or Apache Parquet files, data […]



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Analyze and visualize nested JSON data with Amazon Athena and Amazon QuickSight | Amazon Web Services

May 2022: This post was reviewed for accuracy. Although structured data remains the backbone for many data platforms, increasingly unstructured or semi-structured data is used to enrich existing information or create new insights. Amazon Athena enables you to analyze a wide variety of data. This includes tabular data in CSV or Apache Parquet files, data […]

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      May 2022: This post was reviewed for accuracy. Although structured data remains the backbone for many data platforms, increasingly unstructured or semi-structured data is used to enrich existing information or create new insights. Amazon Athena enables you to analyze a wide variety of data. This includes tabular data in CSV or Apache Parquet files, data […]

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