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After streaming data in BigQuery, new data is available only for few moments in the table as I refresh the page data is gone but I can still query.The main problem is every time I am closing the tab and again access it from the storage I can see the data in table but again it goes when I refresh the page.
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You can stream data directly into BigQuery by calling the API in your software. I'll show you an example using the API Explorer, which lets you make an API call from a nice interface in your browser. Before we do that, we need to create a table to stream the data into.
Google BigQuery lets you stream your event data by leveraging its streaming API. With this approach, you can insert data into BigQuery in near real-time and have it ready for analysis in no time. RudderStack supports BigQuery Stream as a destination to which you can steam your event data seamlessly.
Mechanism of Google BigQuery Streaming Insert Instead of using a job to load data into BigQuery, you can choose to stream your data into Google BigQuery with one record at a time by using the tabledata(). insertAll() method. This approach enables querying data without any delay in running a load job.
Datastream is a serverless and easy-to-use change data capture (CDC) and replication service. It allows you to synchronize data across heterogeneous databases and applications reliably, and with minimal latency and downtime.
The data is in the table. Sometimes you will see the message:
This table has records in the streaming buffer that may not be visible in the preview.
The web UI is little buggy with displaying streamed or updated table details. If you run your query you will see the data you expect.
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