Hi @shashank2406 it sounds like the missing data for June 28th and 29th in both the daily export and streaming export from BigQuery could be caused by several factors. Here are some steps to help you investigate and resolve the issue:
1. Check Logs and Monitoring
- Use Google Cloud's Logs Explorer to see if there were any errors or interruptions during the export jobs for those dates. Look for signs of failed jobs, network issues, or other anomalies that could have affected the data transfer.
2. Review Daily Export Configuration
- Double-check that the daily export job was properly configured and running for the dates in question. Sometimes temporary configuration errors or quota restrictions can result in skipped days.
3. Investigate Streaming Export Timing
- Confirm that the streaming export captured all the data within the expected timeframe. Delays in events reaching the GA4 property or temporary service disruptions could result in missing data in the streaming export.
4. Check Quotas and Limits
- Verify if any quotas or limits were exceeded, such as BigQuery’s streaming insert limits or GA4’s data processing limits. If these thresholds were reached, some data might not have been exported.
5. Backfill the Missing Data
- If the data is still available in GA4 but didn’t make it to BigQuery, consider backfilling the missing information. While BigQuery doesn’t support backfilling natively, you can use tools or custom scripts to extract the missing data from GA4 and manually import it into BigQuery.
6. Explore Alternative Data Pipelines
- If consistent and reliable data exports are crucial for your operations, you might want to look into alternative pipelines. Tools like Windsor.ai offer GA4 and BigQuery connectors with additional features for monitoring and troubleshooting, which can help prevent or resolve issues like this in the future
Hope this helps !
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