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
Powered by GitBook
On this page
  1. Getting Started
  2. Organizing Inbound Data

The Three Data Spaces

PreviousDataflow DiagramNextSource Staging

Last updated 1 month ago

CsvPath Framework is file-based. Files come in and are staged. Validation and upgrading scripts are written and loaded. The scripts are applied to data files and the resulting data files are published.

Each of these areas can live in a different backend. CsvPath Framework supports:

  • Filesystems

  • SFTP

  • AWS S3

  • Azure Blob Storage

  • Google Cloud Storage

CsvPath Framework keeps files in three areas