Credentials
Stored encrypted and decrypted only while a job is running. Use an IAM user scoped to the bucket below.
Temporary credentials
Leave empty for a long-lived IAM user key.
Location
Where browsing starts. Leave it empty to start at the top of the bucket. Saved work addresses objects by their full path, so this is a starting point rather than a restriction.
Group By, Count, Sum, Min, Max, and Average Columns in JSON Data
Group by, count, sum, min, max, and average columns in your JSON data quickly
Connectors
Read straight from the systems your data already lives in, instead of uploading a file.
Summarize Data
This tool lets you group rows in your JSON file based on the values in one or more fields--similar to the SQL GROUP BY operation. It’s perfect for summarizing data by category, generating totals, counts, or averages, and reducing large datasets into meaningful aggregates. You can group your data by any column--such as product type, location, or date--and apply functions like sum, min, max, or count to the grouped results. Whether you're analyzing survey responses, sales records, or logs, this tool helps you turn raw data into structured insights without writing any code.
JSON
JSON (JavaScript Object Notation) is a lightweight, text-based format used for data interchange. JSON is easy to read and write for humans and simple to parse and generate for machines. Its structure is composed of two elements: objects, containing key-value pairs, and arrays, holding lists of values. Keys in JSON objects are strings, and values can be strings, numbers, arrays, true or false, null, and other objects. This format is widely used in web applications for sending data between clients and servers, as well as in configuration files and data feeds.