Power BI Service dataflows
E185660
Power BI Service dataflows are cloud-based, reusable data preparation and transformation pipelines in Power BI that centralize and standardize data for use across multiple reports and datasets.
All labels observed (5)
| Label | Occurrences |
|---|---|
| Power BI dataflows | 3 |
| Dataflows in Power BI | 1 |
| Power BI Dataflows | 1 |
| Power BI Desktop dataflows (authoring experience) | 1 |
| Power BI Service dataflows canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1647643 — 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: Power BI Service dataflows Context triple: [M, integratedWith, Power BI Service dataflows]
-
A.
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.
-
B.
Power BI
Power BI is a Microsoft business analytics and data visualization platform used to transform, analyze, and present data through interactive dashboards and reports.
-
C.
Power BI Embedded
Power BI Embedded is a Microsoft Azure service that lets developers integrate interactive Power BI reports and dashboards into their own applications.
-
D.
Power Fx
Power Fx is a low-code, Excel-like formula language developed by Microsoft for building logic and expressions in Power Platform applications.
-
E.
Power Pivot
Power Pivot is an Excel data modeling and analysis add-in that enables users to create sophisticated data models, relationships, and DAX calculations for business intelligence reporting.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Power BI Service dataflows Target entity description: Power BI Service dataflows are cloud-based, reusable data preparation and transformation pipelines in Power BI that centralize and standardize data for use across multiple reports and datasets.
-
A.
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.
-
B.
Power BI
Power BI is a Microsoft business analytics and data visualization platform used to transform, analyze, and present data through interactive dashboards and reports.
-
C.
Power BI Embedded
Power BI Embedded is a Microsoft Azure service that lets developers integrate interactive Power BI reports and dashboards into their own applications.
-
D.
Power Fx
Power Fx is a low-code, Excel-like formula language developed by Microsoft for building logic and expressions in Power Platform applications.
-
E.
Power Pivot
Power Pivot is an Excel data modeling and analysis add-in that enables users to create sophisticated data models, relationships, and DAX calculations for business intelligence reporting.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
Power BI artifact
ⓘ
cloud-based data preparation feature ⓘ self-service data integration capability ⓘ |
| basedOn | Power Query ⓘ |
| benefit |
improves data consistency across reports
ⓘ
improves data governance ⓘ offloads transformation work from report datasets ⓘ reduces data preparation duplication ⓘ |
| canBeUsedBy |
multiple Power BI datasets
ⓘ
multiple Power BI reports ⓘ |
| canIngestFrom |
APIs
ⓘ
databases ⓘ files ⓘ online services ⓘ |
| canRequire |
Power BI Premium
ⓘ
surface form:
Power BI Premium capacity for advanced features
|
| category |
ETL (extract, transform, load)
ⓘ
business intelligence ⓘ data engineering ⓘ |
| configuredIn | Power BI workspaces ⓘ |
| developedBy | Microsoft ⓘ |
| enables |
self-service data preparation
ⓘ
single source of truth for data ⓘ |
| introducedIn | Power BI Service October 2018 timeframe ⓘ |
| managedBy |
Power BI administrators
ⓘ
workspace admins ⓘ |
| outputCanBeConsumedBy |
Power BI
ⓘ
surface form:
Power BI Desktop
Power BI dataset or model ⓘ
surface form:
Power BI Service datasets
|
| outputFormat | tables ⓘ |
| partOf |
Power BI
ⓘ
surface form:
Power BI Service
|
| relatedTo |
Power BI Service dataflows
self-linksurface differs
ⓘ
surface form:
Power BI Desktop dataflows (authoring experience)
|
| requires | Power BI Pro license for authoring ⓘ |
| runsIn | cloud ⓘ |
| storesDataIn |
Azure Data Lake Storage
ⓘ
surface form:
Azure Data Lake Storage Gen2 (managed by Power BI)
|
| supports |
AI-powered transformations
ⓘ
Common Data Model folders ⓘ Power Query ⓘ
surface form:
Power Query Online
computed entities ⓘ direct connection from Power BI Desktop via dataflows connector ⓘ impact analysis ⓘ incremental refresh ⓘ lineage view ⓘ linked entities ⓘ role-based access control ⓘ scheduled refresh ⓘ |
| usedFor |
centralizing data
ⓘ
data integration ⓘ data preparation ⓘ data transformation ⓘ reusable data pipelines ⓘ standardizing data ⓘ |
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: Power BI Service dataflows Description of subject: Power BI Service dataflows are cloud-based, reusable data preparation and transformation pipelines in Power BI that centralize and standardize data for use across multiple reports and datasets.
Referenced by (7)
Full triples — surface form annotated when it differs from this entity's canonical label.