Power BI Fundamentals
Power BI is Microsoft's business analytics platform for turning source data into governed semantic models, interactive reports, dashboards, and shared apps. Power BI Desktop supports report development, while the Power BI service supports collaboration, distribution, refresh, and access control.
itData engineering and analytics | OpenSkills.info
Course pathWalk it in order
Look it upDip in anytime
Go furtherLeaves this page
Intro
Power BI Fundamentals
Power BI is Microsoft's business analytics platform. It connects to source data, prepares that data, gives it business meaning in a semantic model, presents it through interactive reports, and distributes the results through an online service. The important idea is that a chart is the last stage of a data path, not the whole system.
The platform has two main authoring surfaces. Power BI Desktop is a Windows application for connecting, transforming, modeling, and designing reports. The Power BI service is the browser-based environment where teams publish content, manage workspaces, refresh data, share reports, assemble dashboards, and distribute apps. Microsoft Fabric places Power BI alongside other data integration, storage, engineering, and analytics workloads.
The path from source to decision
A typical Power BI solution follows this path:
source data
-> Power Query transformations
-> semantic model
-> DAX calculations
-> report pages and visuals
-> workspace
-> app, sharing, or embedding
Power Query is the data preparation engine. It connects to files, databases, online services, and other sources. Each transformation becomes a repeatable query step. A refresh reruns those steps against the source, so a report does not depend on someone manually cleaning a spreadsheet each time.
Continue the course
This section is part of the paid course.
See pricing to subscribe, or log in if you already have access.
Where this skill leads
Relevant careers
See how this topic contributes to broader role-level skill maps.
Sources
- https://learn.microsoft.com/en-us/power-bi/fundamentals/power-bi-overview
Supports
- Power BI as Microsoft's business analytics platform and a core Microsoft Fabric workload
- Roles of Power BI Desktop, the Power BI service, reports, and dashboards
- Power BI and Microsoft Fabric relationship
- https://learn.microsoft.com/en-us/power-bi/fundamentals/desktop-getting-started
Supports
- Desktop connection, transformation, visualization, save, and publish flow
- Power Query Editor use within Power BI Desktop
- Publication from Desktop to the Power BI service
- https://learn.microsoft.com/en-us/power-bi/fundamentals/service-basic-concepts
Supports
- Definitions of semantic model, visualization, report, dashboard, app, workspace, and capacity
- Reports as pages based on one semantic model and dashboards as single canvases
- Workspace roles and app distribution concepts
- https://learn.microsoft.com/en-us/power-bi/connect-data/service-datasets-understand
Supports
- Semantic models as containers used by reports, dashboards, and apps
- Power BI Desktop models as Analysis Services tabular models
- https://learn.microsoft.com/en-us/power-query/power-query-what-is-power-query
Supports
- Power Query as a data transformation and preparation engine
- Graphical connection and repeatable query transformations
- Refreshable extract, transform, and load processing
- https://learn.microsoft.com/en-us/power-bi/transform-model/
Supports
- Power BI transformation, shaping, relationship, modeling, DAX, and dataflow documentation path
- https://learn.microsoft.com/en-us/power-bi/guidance/star-schema
Supports
- Star schema guidance for Power BI semantic models
- Fact and dimension table roles, grain, and relationship design
- Data warehouse recommendation for large-volume or advanced transformation requirements
- https://learn.microsoft.com/en-us/dax/
Supports
- DAX as functions and operators used for formulas in Power BI and tabular models
- DAX reference, statements, syntax, operators, and query resources
- https://learn.microsoft.com/en-us/dax/dax-overview
Supports
- DAX calculations, formulas, functions, variables, data types, and context
- DAX use across Power BI, Power Pivot, and Analysis Services
- https://learn.microsoft.com/en-us/dax/dax-glossary
Supports
- Analytic-query filtering, grouping, and summarization
- Row context and filter context definitions
- BLANK, measures, RLS, and dynamic security vocabulary
- https://learn.microsoft.com/en-us/power-bi/connect-data/service-dataset-modes-understand
Supports
- Import, DirectQuery, Composite, Dual, and hybrid model behavior
- Import performance, memory, and refresh tradeoffs
- DirectQuery source-query behavior, freshness rationale, limitations, and resource pressure
- https://learn.microsoft.com/en-us/power-bi/connect-data/desktop-directquery-about
Supports
- Import versus DirectQuery query paths and limitations
- Hybrid, Direct Lake, live connection, and composite alternatives
- https://learn.microsoft.com/en-us/power-bi/connect-data/refresh-data
Supports
- Data, schema, visual, tile, query-cache, and OneDrive refresh distinctions
- Gateway and credential requirements for sources not directly reachable by the service
- Source schema changes as causes of broken queries, model objects, and visuals
- https://learn.microsoft.com/en-us/fabric/security/service-admin-row-level-security
Supports
- Row-level security roles and identity-based row filtering
- RLS limitations and differences across connection and workspace contexts
- Need to validate dynamic RLS with production-like identities
- https://learn.microsoft.com/en-us/fabric/security/security-overview
Supports
- Workspace access and item sharing as distinct access layers
- RLS, column-level security, and object-level security as data restrictions
- https://learn.microsoft.com/en-us/power-bi/guidance/powerbi-implementation-planning-usage-scenario-managed-self-service-bi
Supports
- Shared semantic models supporting multiple report creators
- Managed self-service publication and governance arrangement
- https://learn.microsoft.com/en-us/power-bi/transform-model/desktop-external-tools
Supports
- External Tools integration with the Analysis Services model hosted by Desktop
- Roles of DAX Studio, Tabular Editor, ALM Toolkit, and other external tools
- Caution for external model write operations
- https://github.com/sindresorhus/awesome
Supports
- Required Awesome discovery starting point
- Discovery route to topic-specific curated lists
- https://github.com/NajiElKotob/Awesome-Power-BI
Supports
- Discovery of DAX Studio, Tabular Editor, Power BI Helper, and other Power BI ecosystem resources
- Curated Power BI tools, learning, reference, and community categories
- https://daxstudio.org/docs/features/traces/server-timings-trace/
Supports
- Server-side DAX query duration and storage-engine timing inspection
- Formula-engine and storage-engine diagnostic workflow
- https://docs.tabulareditor.com/en/tutorials/new-pbi-model.html
Supports
- Creation and editing of Power BI semantic models in Tabular Editor
- Power Query expression and model metadata support
- https://bravo.bi/
Supports
- Bravo model analysis, DAX formatting, date-table management, and data export features
- Bravo as a Power BI companion tool
- https://www.microsoft.com/en-us/sql-server/blog/2009/11/18/powerpivot-downloads-for-excel-and-sharepoint-now-available/
Supports
- November 2009 PowerPivot preview downloads for Excel 2010 and SharePoint 2010
- Self-service in-memory modeling and browser sharing roots of the later Power BI stack
- https://www.microsoft.com/en-us/sql-server/blog/2013/07/08/introducing-power-bi-for-office-365/
Supports
- July 2013 introduction of the Power BI for Office 365 name and offering
- Combination of Excel self-service BI and Office 365 sharing
- https://powerbi.microsoft.com/en-ie/blog/announcing-power-bi-general-availability-coming-july-24th/
Supports
- Power BI general availability date of July 24 2015
- Power BI Desktop's earlier Power BI Designer name and free-form report authoring role
- https://powerbi.microsoft.com/en-nz/blog/announcing-general-availability-of-power-bi-gateway-for-enterprise-deployment/
Supports
- February 2016 general availability of the enterprise Power BI gateway
- Centralized access to supported on-premises data sources
- https://powerbi.microsoft.com/en-cy/blog/power-bi-report-server-preview-now-available/
Supports
- 2017 introduction and planned general availability of Power BI Report Server with Power BI Premium
- On-premises publication and viewing path for Power BI reports
- https://powerbi.microsoft.com/en-us/blog/power-bi-desktop-november-2018-feature-summary/
Supports
- November 2018 general availability of composite models
- Combination of DirectQuery and Import sources in one model
- https://powerbi.microsoft.com/de-at/blog/announcing-deployment-pipelines-general-availability-ga/
Supports
- September 2020 general availability of deployment pipelines
- Development, test, and production stages for managed Power BI content delivery
- https://www.microsoft.com/en-us/microsoft-fabric/blog/2023/11/15/prepare-your-data-for-ai-innovation-with-microsoft-fabric-now-generally-available/
Supports
- November 2023 general availability of Microsoft Fabric
- Power BI as a Fabric workload with OneLake and Direct Lake integration
- https://powerbi.microsoft.com/
Supports
- Microsoft Power BI product homepage and official destination
- https://help.tableau.com/current/tableau/en-us/tableau_product_overview.htm
Supports
- Tableau Desktop, Cloud, Server, Prep, Mobile, and Public product roles
- Tableau visual analytics and deployment choices
- https://help.qlik.com/en-US/sense/May2026/Subsystems/Hub/Content/Sense_Hub/Introduction/qlik-sense-product-family.htm
Supports
- Qlik Sense governed self-service, associative exploration, embedded, cloud, and client-managed roles
- https://docs.aws.amazon.com/quicksight/latest/user/how-quicksight-works.html
Supports
- Amazon QuickSight preparation, SPICE or direct-query paths, analyses, visuals, and dashboards
- https://www.metabase.com/home
Supports
- Metabase open-source and hosted business intelligence options
- Self-service exploration, visualization, permissions, and embedding roles
- https://superset.apache.org/docs/
Supports
- Apache Superset as an open-source data exploration and visualization platform
- SQL editor, semantic layer, datasets, charts, dashboards, security, and supported databases