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Power BI is a Microsoft business intelligence tool that provides data visualization and analysis. It stands out for its integration with other Microsoft products.
Power Query extracts and transforms data, Power Pivot models data, and Power View creates interactive visualizations. They work together within Power BI.
Data is imported using Power Query, which supports a wide range of data sources, including databases, files, web services, and cloud platforms.
Calculated columns are computed at data load, while measures are calculated on the fly. Measures are preferred for efficiency and flexibility in calculations.
DAX is a formula language used for creating custom calculations and aggregations. Examples include SUM, AVERAGE, and CALCULATE.
Relationships are created by linking fields between tables. Correct relationships are vital for accurate data analysis and visualizations across related tables.
A data model consists of tables and relationships. Optimization involves reducing the number of columns, using calculated tables, and enabling data compression.
Data cleansing ensures data accuracy and consistency. Power Query is used for tasks like removing duplicates, handling missing values, and transforming data.
Power Query can handle complex transformations and data enrichment tasks, including parsing JSON or XML data, extracting text, and merging multiple data sources.
DirectQuery and Live Connection allow data to be queried in real-time from the source, making them suitable when data freshness is crucial or for large datasets.
Custom visuals are created using Power BI custom visual SDK or Marketplace visuals. They enhance reports by offering unique visualization options tailored to specific needs.
Power BI service is a cloud-based platform for sharing, publishing, and collaborating on reports. It complements Power BI Desktop, allowing users to access reports online and collaborate in real-time.
The Power BI gateway enables secure access to on-premises data sources from the Power BI service. It acts as a bridge for data transfer between cloud and on-premises systems.
The Power BI REST API allows developers to programmatically interact with Power BI content and functionality. It's used for embedding reports and integrating Power BI into custom applications.
Row-level security restricts data access based on user roles. It is used when different users should see different data within the same report or dashboard.
The Paginated Report Builder is used for creating pixel-perfect paginated reports. It's suitable for situations where you need to generate highly formatted, printable reports.
Data refresh schedules ensure that reports display up-to-date data. Considerations include data source refresh limits, dependencies, and the importance of timely data updates.
Embedding Power BI reports involves generating embed tokens and using the Power BI JavaScript API. Authentication can be handled through user authentication or service principal.
Drill-through and drill-down reports allow users to explore data in more detail. They help users navigate through data hierarchies and gain deeper insights.
CDM provides a standardized data structure for integrating data across Microsoft services, including Power BI. It ensures data consistency and simplifies data integration efforts.
Quick Insights and AutoML provide automated data analysis and predictive modeling to discover trends, anomalies, and insights in the data, helping in data-driven decision-making.
Datasets contain the data used in reports. Power BI datasets are used for a single report, while shared datasets can be used in multiple reports for consistency and data governance.
Handling large datasets involves data modeling, filtering, and using summarized tables. Performance optimization includes creating aggregated tables and optimizing DAX calculations.
Power BI Premium provides dedicated capacity and enhanced performance. PPU offers premium features for individual users. They cater to different business sizes and reporting requirements.
I stay updated through official Power BI documentation, blogs, webinars, and communities. Engaging with the Power BI user community and participating in forums and discussion groups is invaluable for learning and staying current.
Power Query functions are reusable data transformation operations. Custom functions are created using the Power Query Editor and used to apply specific transformations.
Performance optimization involves measures like reducing visuals, using summarized tables, and applying proper indexing and modeling techniques for efficient data retrieval.
Calculated tables are created using DAX expressions and can serve as data tables for specific purposes. They are used for aggregating, categorizing, or summarizing data.
Power BI Embedded allows embedding reports into custom applications. Unlike Power BI Service, it doesn't require end-users to have Power BI licenses. It's suitable for SaaS or custom solutions.
Dynamic row-level security is achieved by creating roles and defining DAX filters that restrict data based on user attributes, ensuring data confidentiality.
Content packs are pre-built templates for reports and datasets. They simplify sharing by providing a consistent starting point for creating reports across an organization.
Custom visuals are built using Power BI custom visual SDK. Development involves TypeScript, D3.js, and the Power BI visuals API for creating custom chart types and visuals.
The Power BI XMLA endpoint allows external tools like SSMS to connect to Power BI datasets as if they were Analysis Services models, providing more advanced modeling and querying capabilities.
A Power BI App Workspace is a container for reports, dashboards, and datasets. It allows collaborative development and sharing of content with specific user groups.
Common reasons include data source changes or outages. Troubleshooting involves checking data source connections, query errors, and setting up alerts for refresh failure notifications.
Dataflows enable data preparation and transformation in the Power BI service. They simplify data extraction, transformation, and data modeling tasks, especially for large-scale projects.
Power BI REST API and Service API allow programmatic interactions with Power BI content and functionality. They are used for automating tasks and integrating Power BI into custom applications.
Drill-through actions and cross-filtering allow users to explore data in greater detail and navigate through data hierarchies, facilitating interactive data analysis.
Power BI Mobile enables users to access, view, and interact with Power BI reports on smartphones and tablets. The Power BI Mobile app is available on various mobile platforms.
Power BI templates and apps are created and deployed to provide consistent report templates and configurations. They streamline report distribution and ease content management.
Dataflows use Power Query Online for data transformation. Data is cleaned, transformed, and stored in the Power Platform Dataflows service for use in Power BI Desktop.
The Composite Model allows combining DirectQuery and Import data sources in the same model. It provides performance benefits and more flexibility in report creation.
Incremental refresh policies enable refreshing a subset of data in a large dataset. They are beneficial for managing large datasets and reducing data refresh times.
Data privacy is ensured through data source permissions, encryption, and proper data handling procedures. Compliance requirements are met through audit logs, access controls, and secure sharing options.
The Data Catalog is a repository for discovering and reusing data sources and reports. It simplifies data source exploration and promotes data reuse within the organization.
Custom visuals with advanced interactions and animations are created using Power BI custom visual SDK. They enhance report engagement and storytelling by making data more interactive and engaging.
Power Automate (formerly Flow) integrates with Power BI to automate data workflows and trigger actions based on data changes. It allows for real-time data-driven processes and notifications.
The Power BI Gateway for the Power Platform extends data connectivity to other Power Platform services, enabling data integration and synchronization across the entire Power Platform ecosystem.
Performance tuning for large-scale deployments involves optimizing data models, report design, data source connectivity, and using summarized tables. Regular monitoring and usage analysis are key to maintaining efficiency.
