Overview

Etleap’s wrangler simplifies the process of transforming your data through an intuitive user interface.

This section guides you through common wrangling steps such as:

• Parsing JSON data by flattening JSON objects, turning JSON arrays into tables, and fetching values from JSON structures using JMESPath queries.
• Extracting or manipulating substrings by splitting, editing, cutting, or extracting.
• Handling dates, date-times, and timestamps by turning them into columns with the appropriate types in the destination table.
• Adding metadata such as the file path or modification time to the destination table.

There are also guides for common use cases such as:

• Removing invalid data. This is useful in cases where the source data needs cleaning in order to be useful or correct downstream.
• Deleting or editing existing wrangler steps in order to change an existing wrangler script.