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ALP Data Pipeline Studio

Build and monitor data pipelines with ALP DAG orchestration, schema validation, data quality gates, and dbt/Airflow integration.

Pricing

PlanPriceIncludes
Enterprise Add-on+$2,000 / moUnlimited pipelines, dbt/Airflow sync, lineage

Feature Deep-Dive

Visual Pipeline Designer

Compose extract, transform, load, and validation steps as ALP @task and @workflow blocks. Drag-and-drop canvas with real-time validation against @contract schemas.

Schema Validation & Evolution

Every pipeline step validates input and output against declared schemas. ALP detects breaking schema changes and generates migration tasks automatically.

Data Quality Gates

Define expectations in .alp @expect blocks: row counts, nullability, uniqueness, and distribution checks. Failed gates halt downstream tasks and alert via @policy.

ML Experiment Tracking

Log datasets, model versions, and metrics as ALP events. Compare experiment runs in the Enterprise Dashboard with full reproducibility from the timeline.

dbt / Airflow Integration

Sync ALP pipelines to dbt models and Airflow DAGs. ALP can trigger and monitor non-ALP jobs, unifying orchestration across your stack.

Data Lineage Visualization

Auto-generated lineage graphs show how data flows from source to destination. Compliance teams use lineage for GDPR and SOX audits.

Use Cases

  • Data teams orchestrating ETL/ELT with ALP-native observability.
  • ML teams tracking experiments and model promotions.
  • Compliance teams needing immutable data lineage and audit trails.

Integration

Creates @task/@workflow for pipeline orchestration, @contract for schema boundaries, and @analytics for pipeline metrics.

Quickstart

  1. Install the studio plugin: npm install -g @alp/data-pipeline-studio@80.0.0
  2. Initialize a pipeline project: alp init data-pipeline --template etl
  3. Design in the visual editor or write .alp files directly.
  4. Sync with dbt: alp pipeline sync --dbt ./dbt-project
  5. Monitor in the Enterprise Dashboard under Data Pipelines.