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 Lines Data
Group by, count, sum, min, max, and average columns in your JSON Lines / NDJSON 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 Lines / NDJSON 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 Lines / NDJSON
JSON Lines (also known as NDJSON — Newline Delimited JSON) is a text format where each line is a self-contained,
valid JSON value, typically a JSON object. It is widely used for streaming data, log files, and large data exports
because files can be read and written one record at a time without loading the entire document into memory.
Common file extensions are .jsonl and .ndjson.