Skip to content

Ingestia

Ingestia is a metadata-driven framework designed to transform documentation, architectural standards, and governance from static artifacts into executable parameters.

Instead of treating documentation as the final step of a project, Ingestia makes it the starting point of execution.

Architecture rules, naming standards, and integrity definitions are not described — they are enforced.

Why Ingestia Exists

Modern Lakehouse projects operate under constant pressure:

  • faster delivery cycles
  • increasing data sources
  • multiple domains working in parallel
  • high expectations for data quality and traceability

In this environment, documentation and governance often become bottlenecks.

When over-engineered, they slow delivery.
When ignored, they create chaos.

Ingestia was created to resolve this tension.

It ensures that:

  • standards do not slow down execution
  • governance is not optional
  • ingestion is consistent across teams
  • quality rules are executable, not theoretical

The Core Principle

Documentation is not an artifact. It is a parameter.

Ingestia is built around a metadata-driven approach where:

  • structural definitions
  • naming conventions
  • integrity rules
  • execution behavior

are defined in dictionaries and consumed directly by the ingestion engine.

This eliminates hidden logic inside notebooks and pipelines.

Execution becomes deterministic, reproducible, and transparent.

What Ingestia Provides

Ingestia defines a structured Lakehouse model composed of:

  • Layering strategy (Raw, Standardized, Conformed, Serving)
  • Metadata dictionaries that describe structure and constraints
  • Execution engine that applies those definitions consistently
  • Control columns and batching standards
  • Integrity enforcement and quarantine strategy

The result is a system where:

  • projects remain standardized
  • delivery speed is maintained
  • governance scales with growth
  • environments remain manageable over time

Who It Is For

Ingestia is designed for:

  • Data Architects defining cross-domain standards
  • Data Engineers building ingestion and transformation pipelines
  • Platform teams implementing scalable LakeOps practices

It is not a no-code ingestion tool.
It is not a data warehouse methodology.

It is an execution framework for disciplined Lakehouse architecture.

What You Will Find in This Documentation

This documentation describes:

  • The philosophy and design principles behind Ingestia
  • The architectural model and layering strategy
  • The metadata-driven structure that powers execution
  • The ingestion engine and enforcement mechanisms
  • The governance and quality model
  • Patterns and anti-patterns observed in real-world projects

If your goal is to deliver fast without sacrificing standards,
Ingestia was built for that purpose.