Microsoft Dataverse dataflows
E185659
Microsoft Dataverse dataflows are cloud-based ETL processes that let users connect to, transform, and load data from various sources into Dataverse for use in Power Apps, Power BI, and other Microsoft Power Platform services.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Dataflows in Power Apps | 1 |
| Microsoft Dataverse dataflows canonical | 1 |
| Power Apps dataflows | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1647607 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: Microsoft Dataverse dataflows Context triple: [M, usedIn, Microsoft Dataverse dataflows]
-
A.
Power Fx
Power Fx is a low-code, Excel-like formula language developed by Microsoft for building logic and expressions in Power Platform applications.
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B.
Power Automate
Power Automate is a Microsoft cloud service that enables users to create automated workflows between apps and services to synchronize files, get notifications, and streamline repetitive tasks.
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C.
Microsoft Power Platform
Microsoft Power Platform is a low-code development suite from Microsoft that enables users to analyze data, build custom business apps, automate workflows, and create virtual agents using integrated tools like Power BI, Power Apps, Power Automate, and Power Virtual Agents.
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D.
Power BI Gateway
Power BI Gateway is an on-premises data gateway that securely connects local data sources to Microsoft Power BI and other cloud services for refresh and live queries.
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E.
Dynamics 365
Dynamics 365 is Microsoft’s cloud-based suite of integrated business applications that combines enterprise resource planning (ERP) and customer relationship management (CRM) capabilities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Microsoft Dataverse dataflows Target entity description: Microsoft Dataverse dataflows are cloud-based ETL processes that let users connect to, transform, and load data from various sources into Dataverse for use in Power Apps, Power BI, and other Microsoft Power Platform services.
-
A.
Power Fx
Power Fx is a low-code, Excel-like formula language developed by Microsoft for building logic and expressions in Power Platform applications.
-
B.
Power Automate
Power Automate is a Microsoft cloud service that enables users to create automated workflows between apps and services to synchronize files, get notifications, and streamline repetitive tasks.
-
C.
Microsoft Power Platform
Microsoft Power Platform is a low-code development suite from Microsoft that enables users to analyze data, build custom business apps, automate workflows, and create virtual agents using integrated tools like Power BI, Power Apps, Power Automate, and Power Virtual Agents.
-
D.
Power BI Gateway
Power BI Gateway is an on-premises data gateway that securely connects local data sources to Microsoft Power BI and other cloud services for refresh and live queries.
-
E.
Dynamics 365
Dynamics 365 is Microsoft’s cloud-based suite of integrated business applications that combines enterprise resource planning (ERP) and customer relationship management (CRM) capabilities.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
Microsoft Power Platform component
ⓘ
cloud-based ETL process ⓘ data integration feature ⓘ |
| category |
ETL tool
ⓘ
data preparation tool ⓘ |
| configuredVia |
Power Pages
ⓘ
surface form:
Power Apps portal
Power Query online experience ⓘ |
| dataDestination |
Dataverse tables
ⓘ
custom tables in Dataverse ⓘ standard tables in Dataverse ⓘ |
| dataRefreshLocation |
Dataverse
ⓘ
surface form:
Dataverse storage
|
| dataSourceType |
cloud data sources
ⓘ
databases ⓘ files ⓘ on-premises data sources ⓘ online services ⓘ |
| developedBy | Microsoft ⓘ |
| differsFrom |
Power BI Service dataflows
ⓘ
surface form:
Power BI dataflows
|
| enables |
incremental data loads
ⓘ
scheduled data refresh ⓘ self-service data integration ⓘ |
| partOf |
Microsoft Dataverse
ⓘ
Microsoft Power Platform ⓘ |
| primaryPurpose |
extract data from external sources
ⓘ
load data into Microsoft Dataverse ⓘ transform data ⓘ |
| relatedTo |
Power BI Service dataflows
ⓘ
surface form:
Power BI dataflows
|
| requires |
Dataverse
ⓘ
surface form:
Dataverse environment
|
| securityModel | Dataverse security roles ⓘ |
| supportsFeature |
append queries
ⓘ
calculated columns ⓘ column transformations ⓘ connection via on-premises data gateway ⓘ data mapping to Dataverse columns ⓘ data refresh scheduling ⓘ data type conversion ⓘ incremental refresh policies ⓘ merge queries ⓘ row filtering ⓘ |
| supportsPlatform |
Power Apps
ⓘ
Power Automate ⓘ Power BI ⓘ Power Pages ⓘ |
| usedFor |
analytics scenarios in Power BI
ⓘ
data consolidation from multiple systems ⓘ feeding data to canvas apps ⓘ feeding data to model-driven apps ⓘ |
| usesLanguage | M language ⓘ |
| usesTechnology | Power Query ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Subject: Microsoft Dataverse dataflows Description of subject: Microsoft Dataverse dataflows are cloud-based ETL processes that let users connect to, transform, and load data from various sources into Dataverse for use in Power Apps, Power BI, and other Microsoft Power Platform services.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.