Changelog

A concise record of how the system evolved.
Jun 2025

Initial Infrastructure

Multi-component data processing backbone

  • First production services deployed
  • File-based ingestion pipeline for recurring CSV / Excel exports
  • Asynchronous processing with task queues and workers
  • Initial forecasting service introduced as isolated worker
  • Early orchestration setup for batch data workflows
Outcome

A working system capable of ingesting, processing, and persisting operational data reliably.

Oct 2025

ETL & Orchestration Stabilization

Deterministic pipelines and repeatability

  • Introduced orchestrated DAGs for ingestion and transformation
  • Normalization logic for semi-structured operational files
  • Idempotent pipeline runs and failure recovery
  • Separation between raw source data and processed core data
  • First version of pipeline versioning
Outcome

Recurring operational data could be processed consistently over time, not just once.

Nov 2025

Semantic Modeling Layer

From tables to business meaning

  • Introduced semantic entities, metrics, and relationships
  • AI-assisted generation of semantic models from data + context
  • Query translation layer from business intent to SQL
  • Centralized definition of metrics to eliminate duplication
  • Non-breaking evolution of semantic models
Outcome

Datanto transitioned from a data pipeline to a semantic system.

Dec 2025

Multi-Tenant & Role-Based Architecture

Built for real teams and isolation

  • Per-space data isolation with dual-schema architecture
  • Role-based access control enforced at the data layer
  • Scoped access by role and responsibility (Admin, Member, Guest)
  • Invitation-based access with auditability
  • Authentication and identity system integration
Outcome

Multiple teams could safely operate on the same platform without interference.

Jan–Feb 2026Current

Artifact Generation & Consumption

From models to usable systems

  • Automatic generation of reports, views, and role-aware apps from the semantic model
  • Natural language interface for querying and artifact creation
  • PDF and Excel exports via dedicated services
  • Forecasting integrated as a first-class consumer of the semantic layer
  • Usage tracking for artifacts and pipelines
Outcome

Semantic models became an operational foundation, not just documentation.

Current Status

Guided pilot phase

  • Active enterprise pilots
  • Focus on reliability, correctness, and time-to-value
  • Continuous iteration on ingestion robustness and model evolution

This timeline reflects system-level changes, not feature announcements.

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