See the results of a data operations in realtime, even when working with millions of rows.
See the results of a data operations in realtime, even when working with millions of rows.
Test multiple scenarios and experiment with different stages of your data pipeline.
Each step of your data pipeline pipeline is accessible and interactive.
Append rows from two different sources, sharing columns with the same name and type.
Trim white spaces, and remove blank rows or non-printable characters in table rows.
Generates a value of currency respecting the localization settings.
Remap data from existing fields into a new data structure.
Create a new column and tag data based on a set of rules.
Generates a Date value that is constant.
Adds new columns with results calculated from other columns.
Filters data based on the configuration.
Filters data in a JSON input dataset, returning only the subset which matches the filter criteria.
Replaces the value of a cell by searching and matching conditions.
Groups table records based on the selected fields.
Calculates the number of groups in a table.