Alteryx and BigQuery bring live queries to unstructured data
Alteryx and Google Cloud published an architecture example combining Live Query and BigQuery for unstructured-document workflows. Invoice PDFs remain in Cloud Storage; Alteryx authors the flow in a browser, while SQL pushdown runs transformations and reconciliation in BigQuery. Gemini AI.GENERATE extracts invoice fields in the worked example.
Event / data period: 2026-10-09
Published: · Updated:

The workflow compares extracted invoices with historical BigQuery records, flags possible duplicates and writes operational outputs. The post describes a joint product architecture; it does not announce a newly launched Google Cloud service. It reports no independent throughput or accuracy benchmark.
Data
Alteryx and BigQuery bring live queries to unstructured data
Alteryx and Google Cloud published an architecture example combining Live Query and BigQuery for unstructured-document workflows. Invoice PDFs remain in Cloud Storage; Alteryx authors the flow in a browser, while SQL pushdown runs transformations and reconciliation in BigQuery. Gemini AI.GENERATE extracts invoice fields in the worked example. The workflow compares extracted invoices with historical BigQuery records, flags possible duplicates and writes operational outputs. The post describes a joint product architecture; it does not announce a newly launched Google Cloud service. It reports no independent throughput or accuracy benchmark.
- · Occurred
Alteryx and Google Cloud published an architecture example combining Live Query and BigQuery for unstructured-document workflows. Invoice PDFs remain in Cloud Storage; Alteryx authors the flow in a browser, while SQL pushdown runs transformations and reconciliation in BigQuery. Gemini AI.GENERATE extracts invoice fields in the worked example.
Alteryx and Google Cloud published an architecture example combining Live Query and BigQuery for unstructured-document workflows. Invoice PDFs remain in Cloud Storage; Alteryx authors the flow in a browser, while SQL pushdown runs transformations and reconciliation in BigQuery. Gemini AI.GENERATE extracts invoice fields in the worked example. The workflow compares extracted invoices with historical BigQuery records, flags possible duplicates and writes operational outputs. The post describes a joint product architecture; it does not announce a newly launched Google Cloud service. It reports no independent throughput or accuracy benchmark.
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