Visualize and analyse JSON in S3 with Tableau

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With REFORM and Tableau you can visualize your JSON in S3 in minutes.

Amazon Simple Storage Service (Amazon S3) is an object storage service that offers industry-leading scalability, data availability, security, and performance. This means customers of all sizes and industries can use it to store and protect any amount of data for a range of use cases, such as websites, mobile applications, backup and restore, archive, enterprise applications, IoT devices, and big data analytics.

JSON is not a normal tabular data format. Unlike tabular data the structure of each piece of JSON is tailored to a specific purpose. For example a piece of JSON for a form about you and your pets would have a very different structure to a piece of JSON for a manufacturing dashboard. JSON in S3 expects standard tabular data. In order to visualize JSON data and find insights we need to transform it into meaningful tables.

A screenshot of REFORM. The structure of a JSON dataset is presented as a filesystem which is being browsed and from which relational columns are being picked

REFORM lets you access JSON in S3 as tables in Tableau for visualization and analysis. Simply provide the details of the buckets, browse even the most complex data as if it were a file browser and pick what you're interested in. Simply download the CSV from REFORM and access it with Tableau.

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REFORM also supports situations where the data is too large to fit onto a single computer and situations where data needs to be analysed at scale. REFORM will stream your data directly into tables in AWS Redshift, Snowflake, AWS Athena, Google Big Query and MS SQL Server which support any size of dataset at scale and can easily be used as data sources by Tableau.