CsvPath Framework
  • CsvPath
  • DATA PREBOARDING
  • Getting Started
    • Quickstart
    • Organizing Inbound Data
      • Dataflow Diagram
      • The Three Data Spaces
        • Source Staging
        • Validation Assets
        • Trusted Publishing
      • How Data Progresses Through CsvPath Framework
        • Staging
          • Data Identity
          • Handling Variability
            • Templates
            • Named-file Reference Queries
          • Registration API and CLI
            • Loading
            • Going CLI-only
        • Validation and Upgrading
          • Templates
          • Run Using the API
          • Running In the CLI
          • Named-paths Reference Queries
        • Publishing
          • Inspect Run Results
            • Result API
            • More Templates and References
          • Export Data and Metadata
    • Csv and Excel Validation
      • Your First Validation, The Lazy Way
      • Your First Validation, The Easy Way
      • Your First Validation, The Hard Way
    • DataOps Integrations
      • Getting Started with CsvPath + OpenTelemetry
      • Getting Started With CsvPath + OpenLineage
      • Getting Started with CsvPath + SFTPPlus
        • SFTPPlus Implementation Checklist
      • Getting Started with CsvPath + CKAN
    • How-tos
      • How-to videos
      • Storage backend how-tos
        • Store source data and/or named-paths and/or the archive in AWS S3
        • Loading files from S3, SFTP, or Azure
        • Add a file by https
        • Store source data and/or named-paths and/or the archive in Azure
        • Store source data and/or named-paths and/or the archive in Google Cloud Storage
      • CsvPath in AWS Lambda
      • Call a webhook at the end of a run
      • Setup notifications to Slack
      • Send run events to Sqlite
      • Execute a script at the end of a run
      • Send events to MySQL or Postgres
      • Sending results by SFTP
      • Another (longer) Example
        • Another Example, Part 1
        • Another Example, Part 2
      • Working with error messages
      • Sending results to CKAN
      • Transfer a file out of CsvPath
      • File references and rewind/replay how-tos
        • Replay Using References
        • Doing rewind / replay, part 1
        • Doing rewind / replay, part 2
        • Referring to named-file versions
      • Config Setup
      • Debugging Your CsvPaths
      • Creating a derived file
      • Run CsvPath on Jenkins
    • A Helping Hand
  • Topics
    • The CLI
    • High-level Topics
      • Why CsvPath?
      • CsvPath Use Cases
      • Paths To Production
      • Solution Storming
    • Validation
      • Schemas Or Rules?
      • Well-formed, Valid, Canonical, and Correct
      • Validation Strategies
    • Python
      • Python vs. CsvPath
      • Python Starters
    • Product Comparisons
      • The Data Preboarding Comparison Worksheet
    • Data, Validation Files, and Storage
      • Named Files and Paths
      • Where Do I Find Results?
      • Storage Backends
      • File Management
    • Language Basics
    • A CsvPath Cheatsheet
    • The Collect, Store, Validate Pattern
    • The Modes
    • The Reference Data Types
    • Manifests and Metadata
    • Serial Or Breadth-first Runs?
    • Namespacing With the Archive
    • Glossary
  • Privacy Policy
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  1. Getting Started

Csv and Excel Validation

Preboarding without validation is like pizza without cheese

PreviousExport Data and MetadataNextYour First Validation, The Lazy Way

Last updated 2 months ago

CsvPath Framework includes a robust delimited data validation framework that makes validating CSV, Excel, data frames, and other tabular formats a snap. The CsvPath Validation Language:

  • Is declarative

  • Provides powerful rules-based validation

  • Provides schema-based validation

  • Has over 150 validation functions and allows user-defined custom functions

  • Supports data upgrading and canonicalization

  • Streams data to handle large files

  • Provides metadata, variables, reporting, and error handling options

  • Comes with a wealth of features enabling all kinds of use cases

Best of all, you can start small, do simple things incredibly quickly, and not worry that you'll hit a wall when the requirements get harder.

Read on for a small example. Then look through the site for lots more examples, large and small. If you need help or have questions, !

just ask