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csutter
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| We capture interaction data from opted in users in Google Analytics. This data is processed and | ||
| ingested into Discovery Engine in bulk on a daily basis to help train the model on what content | ||
| users are most likely to be looking for. | ||
| We capture User event data from opted in users in Google Analytics. This is ingested into Discovery Engine in bulk on a daily basis to help train the model on what content users are most likely to be looking for. |
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How about:
We capture interaction data from opted in users in Google Analytics. This is then ingested into Discovery Engine as user events in bulk [...]
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Because "user event" is a VAIS-specific term, not a GA4 one really
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| This is orchestrated by a set of serverless GCP Cloud Functions and associated plumbing in | ||
| [search-v2-infrastructure][search-v2-infrastructure]. | ||
| The bigquery tables from which we obtain our User event data are configured in [govuk-infrastructure][event-ingestion-link]. |
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It's probably less important to specify where the tables are created, than the Dataform pipeline that actually populates them?
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| To reduce the latency of User Event data being made available to the models, it's processed and ingested into Discovery Engine as follows: | ||
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| - [Once per day at midday][link-to-cron-task-1], we import data for the previous day |
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Worth specifying that is complete data, and that the intraday data is not guaranteed to be perfect
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