Join Columns

Docs

Import structured source data into the ETL pipeline to enable reliable data ingestion, schema validation, and preparation for column splitting and joining transformations.

data

Capture user-defined input parameters such as column names and separators to dynamically control how columns are split and joined within the data pipeline.

Key

Left Column Name

Value

Key

Right Column Name

Value

Key

Separator

Value

Key

New Column Name

Value

Join values from two specified columns using a configurable separator to create a new derived column, supporting flexible data transformation and enrichment use cases.

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Export the transformed dataset with the newly joined column to Excel format, enabling spreadsheet-based analysis, reporting, and business review.

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Export the processed dataset to CSV format for efficient data exchange, ETL interoperability, and integration with external analytics systems.

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Export the finalized dataset to JSON format, providing a machine-readable output optimized for APIs, data pipelines, and modern data platform consumption.

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