Data Quality Profiler

Project roadmap

1. 01

   Define the system contract

   ~1h

   Document the input/output format, persistence needs, main user flow, and failure behavior for Data Quality Profiler.

2. 02

   Implement the core workflow

   ~2h

   Build the primary Data Quality Profiler data flow with clear modules, validation, and explicit error handling.

3. 03

   Add persistence or integration

   ~2h

   Connect Data Quality Profiler to its database, filesystem, external API, or runtime integration and handle transient failures.

4. 04

   Harden operational behavior

   ~1.5h

   Handle duplicates, timeouts, partial failures, empty data, and restart scenarios that can affect Data Quality Profiler.

5. 05

   Test the complete flow

   ~1.5h

   Add focused tests and realistic fixtures for successful operations and important failure paths in Data Quality Profiler.

Resources

• DocsPython Documentation