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.
Rename Columns in ORC Data
Rename columns in your Apache ORC data quickly
Connectors
Read straight from the systems your data already lives in, instead of uploading a file.
Rename Columns
Renaming columns in your Apache ORC file doesn't have to be complicated. This tool helps you quickly update the names of any fields in your file, making your data easier to understand or better aligned with other systems you use. Whether you're standardizing headers for reporting or just fixing inconsistent labels, you can rename one or many columns in seconds—no spreadsheet software required. It’s especially helpful for cleaning up exports or preparing data for sharing.
Apache ORC
Apache ORC (Optimized Row Columnar) is a self-describing, columnar file format that supports high compression ratios and fast data retrieval. ORC supports complex types, including structs, lists, maps, and unions. ORC files are divided into blocks of data (stripes) containing statistics (such as min, max, sum, and count) and lightweight indexing which can be used to skip over irrelevant data during queries. ORC also supports predicate pushdown, meaning that filters can be applied as the data is read from disk, reducing the amount of data loaded into memory and processed. Due to its high performance in terms of compression and speed of access, ORC is particularly well-suited for heavy read operations and is commonly used in data warehousing and analytics applications.