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Removing instances of 'we,' 'us' from the BigQuery page
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src/connections/storage/catalog/bigquery/index.md

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@@ -87,10 +87,10 @@ from <project-id>.<source-name>.<collection-name>$20160809
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#### Views
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A [view](https://cloud.google.com/bigquery/querying-data#views) is a virtual
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table defined by a SQL query. We use views in our de-duplication process to
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table defined by a SQL query. Segment uses views in the de-duplication process to
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ensure that events that you are querying unique events, and the latest objects
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from third-party data. All our views are set up to show information from the last
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60 days. Whenever possible, we recommend that you query from these views.
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from third-party data. All Segment views are set up to show information from the last
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60 days. Whenever possible, query from these views.
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Views are appended with `_view` , which you can query like this:
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@@ -125,7 +125,7 @@ Then, head to your warehouse's connection settings and update with the
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BigQuery charges based on the amount of data scanned by your queries. Views are
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a derived view over your tables that Segment uses for de-duplication of events.
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Therefore, we recommend you query a specific view whenever possible to avoid
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Therefore, Segment recommends you query a specific view whenever possible to avoid
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duplicate events and historical objects. It's important to note that BigQuery
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views are not cached.
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Absolutely! You will just need to modify one of the references to 60 in the view
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definition to the number of days of your choosing.
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We chose 60 days as it suits the needs of most of our customers. However,
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Segment chose 60 days as it suits the needs of most customers. However,
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you're welcome to update the definition of the view as long as the name stays
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the same.
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Here is the base query we use when first setting up your views. We are leaving
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in the placeholders (`%s.%s.%s`) where you would want to include the project,
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Here is the base query Segment uses when first setting up your views. Included in the base query are the placeholders (`%s.%s.%s`) where you would want to include the project,
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dataset and table (in that order).
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```sql
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### Does Segment support streaming inserts?
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Segment's connector does not support streaming inserts at this time. If you have
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a need for streaming data into BigQuery, [contact us](https://segment.com/requests/integrations/).
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a need for streaming data into BigQuery, [contact Segment support](https://segment.com/requests/integrations/).
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### Can I customize my sync schedule?
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### I'm seeing duplicates in my tables.
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This behavior is expected. We only de-duplicate data in your views. See the
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This behavior is expected. Segment only de-duplicates data in your views. See the
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section on [views](#views) for more details.

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