Submit

What is Submit ?

Submit is a tool designed for dataset creation and validation. It allows users to generate Parquet files, which are essential for ensuring data integrity and consistency in various data processing and machine learning pipelines. The tool is particularly useful for teams working with large datasets who need to validate their data efficiently.

Features

• Parquet File Generation: Create high-quality Parquet files for dataset validation.
• Data Ingestion: Support for multiple input data formats, including CSV, JSON, and more.
• Validation Rules: Apply custom validation rules to ensure data correctness.
• Scalability: Designed to handle large-scale datasets with ease.
• User-Friendly Interface: Simple CLI and API for seamless integration into your workflow.

How to use Submit ?

1. Prepare Your Input Data: Ensure your data is in a supported format (e.g., CSV, JSON) and is ready for processing.
2. Run Submit Tool: Execute the tool using the command line or API, specifying the input file and any validation rules.
3. Specify Validation Rules: Define rules to check data types, ranges, and other constraints.
4. Generate Parquet File: The tool will process your data and generate a Parquet file if validation passes.
5. Integrate with Your Workflow: Use the generated Parquet file in your data pipeline or machine learning workflow.

Frequently Asked Questions

What is the primary purpose of Submit?
Submit is primarily used to generate Parquet files for dataset validation, ensuring your data meets specified criteria before use in processing or analysis.

What file formats does Submit support?
Submit supports various input formats, including CSV, JSON, and others, allowing flexibility in data ingestion.

How do I handle validation errors?
If validation fails, Submit provides detailed error reports. You can fix the issues in your input data and rerun the tool to regenerate the Parquet file.