Public pipeline · read-only

Import and validate structured data into the ETL pipeline, ensuring consistent schema enforcement and high-quality data ingestion for analytics.

  1. Done

    data

    Flatten nested or stringified JSON fields into a normalized, column-based structure to improve data usability, search performance, and compatibility with analytical workflows.

  2. Idle
    Inspect table data from the context and generate an inferred schema: field names or indices, observed types, nullability, and example values.

    Export the flattened dataset to Excel format to support business intelligence reporting, spreadsheet analysis, and data review by non-technical users.

  3. Idle

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