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Systems integration / Data engineering

Connect systems.Transform data.Automate processes.

APIs, data models and workflows for your system landscape. From the first mapping to transparent operations.

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REST / SOAPJSON / XML / CSVSQL / Webhooks
Integration architecture / Example
customer_id → externalIdcountry: "at" → "AT"
Source → Data model → Target

01 / Practical challenges

Where is your data flow getting stuck?

Select a typical challenge. The source, target and technical approach update with your selection.

API integration

One data model. Defined APIs.

Customers are maintained in the ERP and created again in the CRM. Different IDs and field names prevent a consistent shared view.

SOURCEERP / Customer data

TARGETCRM / Contacts
Mapping / Illustrative example

customer_id: 1042 → externalId: "1042"
company_name → organization.name

The record is matched using a stable external ID.

REST API · ID mapping · UpsertImplementation in detail

Systems integration

Connect processes across system boundaries.

The shop receives an order. Line items, delivery details and status are then entered into the ERP manually.

SOURCEShop / Order

TARGETERP / Sales order
Mapping / Illustrative example

order.id → salesOrder.externalId
line_items[] → positions[]

Order processing and status feedback become a defined business process.

Adapters · Status model · ResponsibilitiesImplementation in detail

Data migration

Prepare imports. Validate migration.

A file needs to be cleaned, validated and imported again. Errors only become apparent in the target system.

SOURCECSV / Legacy data

TARGETTarget system / Import
Mapping / Illustrative example

"  AT " → country: "AT"
"1.249,90" → amount: 1249.90

Validated records and the error report are separated before import.

Profiling · Validation · ReconciliationImplementation in detail

Data synchronization

Synchronization with clear rules.

Shipment and order status differ between applications. Duplicate deliveries and delayed updates cause conflicts.

SOURCEERP / Shipment status

TARGETShop / Order status
Mapping / Illustrative example

shipment.status: "sent" → "shipped"
version: 17 → ältere Updates ablehnen

Direction, freshness requirements and conflict rules are explicitly defined.

System of record · Versions · ReconciliationImplementation in detail

Data transformation & ETL

Transform data. Validate schemas.

One system provides nested JSON; another expects XML or flat tables. Types, codes and required fields differ.

SOURCEAPI / JSON

TARGETPartner / XML
Mapping / Illustrative example

address.country: "at" → <Country>AT</Country>
netAmount: "42.50" → decimal(42.50)

Field mappings and validation rules are implemented as a traceable mapping.

ETL · Type conversion · SchemaImplementation in detail

Webhooks & process automation

Turn events into controlled actions.

A new hire, team change or departure triggers several manual updates. Roles and approvals need to stay aligned.

SOURCEHR / Employee event

TARGETApplications / Access
Mapping / Illustrative example

event: "employee.changed" → Rollen prüfen
changeId: "CHG-1042" → deduplizieren

Approvals, permissions and exceptions remain part of the process.

Webhook · Approval · RecoveryImplementation in detail

02 / Live request pipeline

Your request. Three steps. One data model.

A real request transformation: validate the input, normalize fields and display the structured result.

HTTP REQUEST / LIVEJSON ready
01 / READ

Request received.

From your current page request. Header values are shortened and the IP address is already masked.

REQUEST_METHOD
GET
User-Agent
Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +c
Request-Time
2026-10-14T22:33:59Z
Connecting-IP (masked)
216.73.xxx.xxx
02 / TRANSFORM

Headers become context.

Derive browser, operating system and device from the User-Agent. Normalize the language. Map available location values.

device
Automatisierter Client
country
US
region
Ohio
city
Columbus
timezone
America/New_York
https
true

Browser and device are inferred from the User-Agent. Location values are approximate.

03 / TRANSFER

A structured result.

Request, client and transport follow a consistent JSON model. The output stays here in your browser.

REQUESTMAPPINGJSON

No external transfer. No dedicated visitor database. No demo cookies.

request.record.jsonCURRENT REQUEST
{
    "request": {
        "received_at": "2026-10-14T22:33:59Z",
        "ip": "216.73.xxx.xxx",
        "country": "US",
        "region": "Ohio",
        "city": "Columbus",
        "timezone": "America/New_York",
        "continent": "NA"
    },
    "client": {
        "device": "Automatisierter Client"
    },
    "transport": {
        "method": "GET",
        "host": "en.datasource.at",
        "request_id": "a4aa0c5d5bc9258a-CMH",
        "https": true
    }
}

IP masked · No additional storage
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03 / From requirements to operations

Clarify complexity. Deliver the connection.

Clear responsibilities, planned error handling and a documented handover are part of integration.

01 /

Understand

Systems, interfaces, responsibilities and the requirements of your business process.

Context clarified

02 /

Plan

Data models, failure scenarios and a solution your team can maintain.

Specification defined

03 /

Connect

Implement step by step. Test representative data and exception scenarios deliberately.

Acceptance verified

04 /

Operate

Document, hand over and clarify responsibilities for ongoing operations.

Operations handed over

Our approach in detail

04 / Integration in everyday operations

What happens to your data?

Select a workflow and see how mappings, required fields and duplicate deliveries affect the result.

Commerce / Data flow

A shop order becomes a sales order.

Map IDs and line items, translate status values and handle duplicate deliveries.

  1. 01Read
  2. 02Validate
  3. 03Map
SOURCE / JSON
{
  "id": "WEB-1042",
  "items": [
    {
      "sku": "SKU-01",
      "quantity": 2
    }
  ],
  "status": "paid"
}
TARGET / JSON
{
  "externalId": "WEB-1042",
  "positions": [
    {
      "articleNumber": "SKU-01",
      "quantity": 2
    }
  ],
  "orderStatus": "ready"
}

Illustrative target object. No production system is accessed.

Mapping and validation rules
  • id → externalId
  • items[].sku → positions[].articleNumber
  • paid → ready

Required fields are validated before mapping. A key that has already been processed does not create a second target object.

Connect shop and ERPExample data / No API request

Infrastructure / Data flow

Validate first. Then provision.

Validate approval and resources, then generate a defined provisioning plan.

  1. 01Read
  2. 02Validate
  3. 03Map
SOURCE / JSON
{
  "requestId": "REQ-1042",
  "approved": true,
  "template": "linux-test-v2",
  "cpu": 2,
  "memoryMiB": 4096
}
TARGET / JSON
{
  "externalId": "REQ-1042",
  "templateName": "linux-test-v2",
  "resources": {
    "cpu": 2,
    "memoryMiB": 4096
  },
  "state": "queued"
}

Illustrative target object. No production system is accessed.

Mapping and validation rules
  • requestId → externalId
  • cpu + memoryMiB → resources
  • approved: true → queued

Required fields are validated before mapping. A key that has already been processed does not create a second target object.

Automate ProxmoxExample data / No API request

Data / Documents / Data flow

One data model for the next document.

Validate records, aggregate amounts and prepare the data for a PDF report.

  1. 01Read
  2. 02Validate
  3. 03Map
SOURCE / JSON
{
  "reportId": "REP-1042",
  "currency": "EUR",
  "rows": [
    {
      "invoice": "R-1042",
      "net": 125
    },
    {
      "invoice": "R-1043",
      "net": 80
    }
  ]
}
TARGET / JSON
{
  "documentId": "REP-1042",
  "format": "PDF",
  "currency": "EUR",
  "netTotal": 205,
  "records": 2
}

Illustrative target object. No production system is accessed.

Mapping and validation rules
  • reportId → documentId
  • rows[].net → netTotal
  • rows.length → records

Required fields are validated before mapping. A key that has already been processed does not create a second target object.

Automate documentsExample data / No API request

05 / Your next connection

What should your systems achieve together?

The applications involved and a specific workflow are enough to get started. We clarify interfaces, data ownership and the next validation step.

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Project inquiry

Your requirements. Our next step.

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    The first step toward the right connection.