Enterprise
Modern Data Analytics Pipeline
A robust ELT (Extract, Load, Transform) pipeline designed for scalability and modularity.Leverages the “Modern Data Stack” ecosystem.
Architecture Diagram
%% Autogenerated data-analytics-modern
graph TD
classDef standard fill:#1e293b,stroke:#38bdf8,stroke-width:1px,color:#e5e7eb;
classDef c-actor fill:#1e293b,stroke:#e5e7eb,stroke-width:1px,stroke-dasharray: 5 5,color:#e5e7eb;
classDef c-compute fill:#422006,stroke:#fb923c,stroke-width:1px,color:#fed7aa;
classDef c-database fill:#064e3b,stroke:#34d399,stroke-width:1px,color:#d1fae5;
classDef c-network fill:#2e1065,stroke:#a855f7,stroke-width:1px,color:#f3e8ff;
classDef c-storage fill:#450a0a,stroke:#f87171,stroke-width:1px,color:#fee2e2;
classDef c-security fill:#450a0a,stroke:#f87171,stroke-width:1px,color:#fee2e2;
classDef c-gateway fill:#2e1065,stroke:#a855f7,stroke-width:1px,color:#f3e8ff;
classDef c-container fill:#422006,stroke:#facc15,stroke-width:1px,color:#fef9c3;
subgraph ingestion ["INGESTION"]
direction TB
sources("Data Sources
external
APIs, DBs, Events") class sources standard airflow("Airflow (Orchestrator)
orchestrator") class airflow c-compute end subgraph processing ["PROCESSING"] direction TB warehouse[("Snowflake (Warehouse)
database
Raw & Bronze Layers")] class warehouse c-database dbt("dbt (Transformation)
service
SQL Modeling") class dbt c-compute end subgraph consumption ["CONSUMPTION"] direction TB bi("Looker / Superset
dashboard
Business Intelligence") class bi standard end %% Orphans %% Edges airflow -.-> sources warehouse -.-> airflow dbt -.-> warehouse bi -.-> warehouse
external
APIs, DBs, Events") class sources standard airflow("Airflow (Orchestrator)
orchestrator") class airflow c-compute end subgraph processing ["PROCESSING"] direction TB warehouse[("Snowflake (Warehouse)
database
Raw & Bronze Layers")] class warehouse c-database dbt("dbt (Transformation)
service
SQL Modeling") class dbt c-compute end subgraph consumption ["CONSUMPTION"] direction TB bi("Looker / Superset
dashboard
Business Intelligence") class bi standard end %% Orphans %% Edges airflow -.-> sources warehouse -.-> airflow dbt -.-> warehouse bi -.-> warehouse
Description
This architecture separates the concerns of data ingestion, transformation, and storage, allowing data teams to iterate quickly.
Core Components:
- Orchestration (Airflow/Prefect): Manages the schedule and dependencies of data workflows.
- Transformation (dbt): “Data Build Tool” runs SQL transformations inside the warehouse, applying engineering practices (testing, version control) to data/analytics code.
- Cloud Data Warehouse (Snowflake/BigQuery): Serverless, infinite-scale storage that separates compute from storage.
- BI Layer (Looker/Superset): Visual exploration and dashboarding for business stakeholders.
Why this stack? The “ELT” pattern (loading raw data first, then transforming it) is more resilient than traditional ETL and preserves the raw source of truth.
Tech Stack
| Component | Technology |
|---|---|
| Segment | enterprise |
| Orchestration | airflow |
| Transformation | dbt |
| Warehouse | snowflake |
| Bi | looker |
System Components
The following distinct entities are defined in this architecture:
| Component | Type | Notes |
|---|---|---|
| Data Sources | external | APIs, DBs, Events |
| Airflow (Orchestrator) | orchestrator | - |
| Snowflake (Warehouse) | database | Raw & Bronze Layers |
| dbt (Transformation) | service | SQL Modeling |
| Looker / Superset | dashboard | Business Intelligence |
Interested in this architecture?
Let's discuss how to adapt the Modern Data Analytics Pipeline stack for your specific needs.
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