Preview and validate data files before they enter your pipeline

It reads Parquet, Feather, ORC, or Avro files you upload and instantly returns the data, schema, and row count as JSON.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig>"file sent in request"]:::trig s0["forward file to parser"]:::svc s1["parse rows and schema"]:::task s2["return JSON preview"]:::task trig --> s0 s0 --> s1 s1 --> s2 out[/"structured JSON file preview"/]:::out pay{{"trust a file before loading it"}}:::pay s2 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepAn outside serviceResultPayoff
Build size
Standard

A mid-size build with several tools working together.

Business functions
API & Webhook IntegrationDevOps & IT Operations
Connects
ParquetReader

The problem it solves

Before you trust a data file enough to load it into a report or a system, you need to know what's actually inside it, but Parquet, Avro, and similar formats aren't readable by eye. Opening each file to check the structure by hand slows down every data handoff.

Who it fits

Data teams and analysts who need to check the structure of columnar data files before using them.

How it works

  1. You send a file in a request
  2. It forwards the file to the ParquetReader service for parsing
  3. It reads the file's rows, schema, and metadata
  4. It returns a structured JSON preview of what's inside
What you get

Data files you can trust before they load

Upload a Parquet, Feather, ORC, or Avro file and instantly see its rows, schema, and structure returned as clean data.

What you get

A JSON preview of the file's data, column structure, and metadata.

What you need

Access to the ParquetReader API.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

Related automations

Turn Parquet, CSV, JSON, and Excel files into whatever format you need

Uploads a data file in almost any format and instantly converts it to clean CSV or JSON you can use.

Standard

Generate a README file for your GitHub repo with AI

Reads every file in your GitHub repo and writes a complete README for you automatically.

Advanced

Get Slack alerts before your software reaches end of life

Automatically checks end-of-life dates for your software and sends a Slack alert before support runs out.

Advanced

Get an AI alert when a software update affects your integrations

AI compares new software release notes to the tools you actually use and alerts you only when something affects you.

Advanced
Back to the AI Playbook