Data arrives on its own — no manual exports

Connectors to your systems, incremental loads and monitoring: if a source fails, you find out before you see an empty report.

01Builder

Sketch your data architecture

Pick sources and goals — the diagram appears on the right straight away: sources, pipeline, warehouse, BI and outputs.

01 · Sources
02 · Goals
Preliminary architectureNodes: 10
Preliminary data architecture for the selected sources and goals
  1. CRM → ETL · file ingestion
  2. ERP · 1C → ETL · file ingestion
  3. Excel · Sheets → ETL · file ingestion
  4. +2 sources → ETL · file ingestion
  5. ETL · file ingestion → Data quality checks
  6. Data quality checks → Data Warehouse
  7. Data Warehouse → Data marts
  8. Data marts → BI layer · metrics
  9. BI layer · metrics → Scheduled reports
  10. Scheduled reports
SOURCES
CRM · ERP · 1C · Excel · Sheets · External API · Other systems

PIPELINE
5 connectors · File ingestion with schema checks · Deduplication · validation · reference data

STORAGE
Data Warehouse (PostgreSQL or ClickHouse by volume) · Data marts per department

OUTPUTS
Scheduled reports

This is a preliminary outline. The architecture may change once we look at your sources.

02Data integration

What we connect

Accounting systems, CRMs, billing, databases, external APIs, spreadsheets and files, logs and website events.

  • Loads on a schedule or on events
  • Retries and failure notifications
  • A log of every load

Need two-way system integration, not just exports for analytics?

Integrations at DevZoneDevZone
04Contact

Let’s look at your data

Five questions and you get a preliminary data architecture and a first step. Or just write to us.

Preliminary data architecture

Step 1 of 6
Where does your data live?Choose several if needed

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