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Stream Nimriz events into BigQuery

Send mapped link, QR, card, and conversion rows to a customer-owned table with stable insert IDs and independent row results.

  • Link clicks
  • QR scans
  • Card events
  • Conversions

Event flow

Async delivery
Nimriz eventsMapped batchBigQuery table
Nimrizredact · filter · map
BigQuery

Bot traffic is excluded by default. Delivery runs off the redirect path with automatic retries.

Why BigQuery with Nimriz

Stream event rows into the warehouse your analysts already use. Nimriz keeps batches off the redirect path, preserves row-level outcomes, and provides a documented default schema you can adapt to mapping changes.

01

Row-level delivery truth

Indexed BigQuery errors map back to individual Nimriz deliveries, so valid rows do not repeat with rejected siblings.

02

Stable insert identity

Each row uses its delivery ID as insertId for best-effort provider deduplication.

03

Scoped service account

Use a key limited to the intended dataset and verify it with a real streaming row before enabling.

Under the hood

What Nimriz sends, and how.

Use a scoped service account to stream mapped batches through BigQuery tabledata.insertAll.

Plan note

BigQuery streaming export is available on Enterprise plans.

Delivery
Batched tabledata.insertAll requests
Batch bound
Up to 100 rows or the shared 4 MiB payload ceiling
Schema
Customer-created table matching the mapped payload
Errors
Independent indexed row results, including HTTP 200 responses with insertErrors

Guided setup

Connected in four reviewed steps.

  1. 01

    Create the table

    Use the documented schema or one matching your custom mapping.

  2. 02

    Add a scoped key

    Paste a service-account JSON key and target identifiers.

  3. 03

    Insert a test row

    Confirm a real sample row reaches the selected table.

  4. 04

    Enable delivery

    Nimriz enables delivery after the saved key, table, and mapping pass the real test.

Use cases

  • Warehouse reporting
  • Attribution analysis
  • Customer-owned transformations

Privacy notes

Privacy-aware rows omit customer external IDs used for CRM delivery, raw IP, and complete User-Agent strings.

Nimriz never forwards raw IP addresses or complete User-Agent strings in integration payloads. Strict privacy mode omits visitor hashes and selected granular fields such as city.

Analytics privacy docs

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