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 Parquet Data
Group by, count, sum, min, max, and average columns in your Apache Parquet 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 Apache Parquet 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.
Apache Parquet
Apache Parquet is a columnar storage file format that provides efficient data compression and encoding schemes. It is optimized for use with complex nested data structures and is effective for queries that process large volumes of data and for table-like datasets.