Alteryx One Live Query and Google Cloud BigQuery have integrated to manage complex, unstructured data. This collaboration aims to reduce reliance on disconnected tools and minimize data movement by enabling warehouse-native execution.
Live Query provides a browser-based environment for building data pipelines without code. When combined with BigQuery, it allows secure SQL pushdown, executing data transformation logic directly within the warehouse.
The integration is designed for document-heavy workflows. Live Query orchestrates Google's AI and machine learning models, such as Gemini, to extract intelligence from PDFs and images. This process maintains data governance and security within the BigQuery environment.
Finance and operations teams often deal with vendor invoices in PDF format, which can have inconsistent data and lead to manual errors. Traditionally, this required manual extraction or fragmented tools to move data into a warehouse.
With Live Query for BigQuery, the entire invoice lifecycle can be automated. This includes processing PDFs, extracting key fields, and standardizing results within the BigQuery ecosystem. This allows for faster identification of anomalies and data issues, while ensuring governed enterprise data remains within the warehouse.
The Live Query solution processes invoice PDFs arriving as unstructured documents in Google Cloud Storage. The Document Extract tool within Live Query uses user-selected models, such as Gemini or Document AI, to extract structured fields. The extracted results are then standardized and compared against historical invoice records stored in BigQuery.
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Alteryx Live Query now integrates with Google Cloud BigQuery, allowing businesses to process unstructured data directly within the data warehouse. This integration enables SQL pushdown and uses Google AI models like Gemini to extract information from documents, reducing manual data handling.