@GabrielaNa1  As I know, AEP's PQL currently doesn't support standard SQL-style interval expressions. You may want to calculate prior and store the mostRecentDropDateDM + 30 days as a new field. Another option is to try using date_diff() for comparing days between two date attributes.  

@PadmajaS  It looks like your eVar value isn’t being captured in the default pageview ("PageView-test") because when that rule fires (as the Launch library loads), the data element pulling from the dataLayer returns undefined. To test this: try hardcoding a value into the eVar data element temporari...

@YatinSh It is technically feasible to stream and batch ingest data simultaneously into the same profile dataset. Key Considerations: Define identity strategy, XDM schema, and source mappings. Test in sandbox to identify and resolve issues like schema mismatch, data duplication, conflict merge rules...

@TRolic1 There are ways to achieve what you are requesting. I answered a similar questions in following thread How to Prevent Google Analytics Cookies from Dropping Before Consent Using Adobe Launch and OneTrust 

@FernandoVe3 Shared metrics and dimensions let you manage common components in one place and use them across multiple data views within the same connection. Any updates made apply instantly to all linked views. However, they can’t be shared across different connections.  How to do this - Look for th...

@VivekVe1 can do it using Edge network API, you will need to implement cross domain tracking to ensure visits and visitor counts are not inflated. Better option is to implement Adobe tags on subdomain and use that for G4 tags, regardless you can continue using google data layer.

@Michael_Soprano I’m approaching this as a hypothetical question to better understand the process. My assumption is that it's a daily export file that has been manually uploaded for the past year, since the data engineer declined to build an ETL or automation for it. It could be a marketing campaign...

@MarkVictoria  One possible reason could be that you're also tracking offline user activity, which can easily account for a 0.34% shift in visit numbers. If you're using AEP, you can investigate this by comparing the hit timestamp with the record createtimestamp in the platform.

@Michael_Soprano Thanks for sharing. I think, you can use your demo to clarify what AEP/RTCDP does and does not do out-of-the-box for data quality and cleansing. Can share any workaround and may choose compare limitations with other CDP providers.

Do you have access to Monitoring tab in the Data Collection UI? that allows you to monitor usage patterns, errors, and compute time. If you don't find details can reach out to care team to give you more details.