Azure and Power BI - Power BI (2023)

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With Azure services and Power BI, you can turn your data processing efforts into analytics and reports that provide real-time insights into your business. Whether your data processing is cloud-based or on-premises, straightforward, or complex, single-sourced or massively scaled, warehoused, or real-time, Azure and Power BI have the built-in connectivity and integration to bring your business intelligence efforts to life.

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(Video) Power BI Integration With Azure | Power BI Azure Tutorial For Beginners | K21Academy

Power BI has a multitude of Azure connections available, and the business intelligence solutions you can create with those services are as unique as your business. You can connect as few as one Azure data source, or a handful, then shape and refine your data to build customized reports.

Azure SQL Database and Power BI

You can start with a straightforward connection to an Azure SQL Database, and create reports to monitor the progress of your business. Using the Power BI Desktop, you can create reports that identify trends and key performance indicators that move your business forward.

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There's plenty more information for you to learn about Azure SQL Database.

(Video) PowerBI Azure Tutorial For Beginners | Power BI Integration with Azure | Edureka | Azure Live - 3

Transform, shape, and merge your cloud data

Do you have more complex data, and all sorts of sources? No problem. With Power BI Desktop and Azure services, connections are just a tap of the Get Data dialog away. Within the same query you can connect to your Azure SQL Database, your Azure HDInsight data source, and your Azure Blob Storage or Azure Table Storage. Then select only the subsets within each that you need, and refine it from there.

You can create different reports for different audiences too, using the same data connections and even the same query. Just build a new report page, refine your visualizations for each audience, and watch it keep the business in the know.

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For more information, take a look at the following resources:

(Video) Power BI Dev Camp Session 23 - Developing for Power BI using Azure Functions

And for more information about Azure resources available in Power BI, see Azure data sources.

Get complex (and ahead) using Azure services and Power BI

You can expand as much as you need with Azure and Power BI. Harness multi-source data processing, make use of massive real-time systems, use Stream Analytics and Event Hubs, and coalesce your varied SaaS services into business intelligence reports that give your business an edge.

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Context insights with Power BI Embedded analytics

Embed stunning, interactive data visualizations in applications, websites, portals, and more, to take advantage of your business data. With Power BI Embedded as a resource in Azure, you can easily embed interactive reports and dashboards, so your users can enjoy consistent, high-fidelity experiences across devices. Power BI used with embedding analytics is to help you through your journey from Data to Knowledge to Insights to Actions. Furthermore, you can extend the value of Power BI and Azure also by embedding analytics in your organization's internal applications and portals.

(Video) Introduction to PowerBI Azure Tutorial For Beginners | Power BI Integration with Azure | KSR

There's lots of information about Power BI APIs in the Power BI Developer Portal.

For more information, see Power BI Embedded.

Embed your Power BI data within your app

Embed stunning, interactive data visualizations in applications, websites, portals, and more, to showcase your business data in context. Using Power BI Embedded in Azure, you can easily embed interactive reports and dashboards, so your users can enjoy consistent, high-fidelity experiences across devices.

What could you do with Azure and Power BI?

There are all sorts of scenarios where Azure and Power BI can be combined. The possibilities and opportunities are as unique as your business. For more information about Azure services, check out this overview page, which describes Data Analytics Scenarios using Azure, and learn how to transform your data sources into intelligence that drives your business ahead.

(Video) What is Azure Analysis Service and how to use it for Data Analytics with Power BI? #powerbi #azure


What is difference between Microsoft Azure and Power BI? ›

Microsoft Azure is a cloud computing platform and infrastructure for building, deploying, and managing applications and services through a global network of Microsoft-managed datacenters. Microsoft Power BI is a visualization and data discovery tool from Microsoft.

Is Power BI in demand in 2023? ›

Demand and Future Scope of Power BI

Data has already become the backbone of every organization in the competitive market, and it will continue to be the same in the future. These organizations will need to keep analyzing this data to verify the efficiency of their organizational operations.

How do you explain Power BI in an interview? ›

Power BI Interview Questions For Experienced
  1. What are the major differences between visual-level, page-level, and report-level filters in Power BI? ...
  2. List the most common techniques for data shaping. ...
  3. How is the Schedule Refresh feature designed to work? ...
  4. What information is needed to create a map in Power Map?

How do I pull data from Azure to Power BI? ›

Connect in Power BI Desktop
  1. In Power BI Desktop, click Get Data > Azure > Azure Analysis Services database.
  2. In Database, if you know the name of the tabular model database or perspective you want to connect to, paste it here. ...
  3. Select a connection option and then press Connect.
Feb 23, 2023

What is the difference between power platform and Azure apps? ›

Azure Logic Apps is a service used for application integration, building workflows etc. PowerApps are for building GUI applications. Almost everything can be called an application, or an app, therefore it's not reasonable to assume that all things called apps are similar in some way.

How do I visualize data in Azure? ›

To interactively explore sample dashboards, see Quickstart: Visualize sample data dashboards.
  1. Prerequisites. A Microsoft account or an Azure Active Directory user identity. ...
  2. Create a new dashboard. ...
  3. Add data source. ...
  4. Add tile. ...
  5. Pin tile from query. ...
  6. Use parameters. ...
  7. Share dashboards. ...
  8. Export dashboards.
Feb 26, 2023

Is Azure a power platform? ›

When connected to Azure and hundreds of other apps, Microsoft Power Platform enables you to quickly deliver value and clear your app backlog. Create intelligent, easy-to-understand reports from Azure data sources and surface them wherever decisions are made.

What are the different types of Azure platform? ›

In addition, Azure offers four different forms of cloud computing: infrastructure as a service (IaaS), platform as a service (PaaS), software as a service (SaaS) and serverless functions.

What are the two types of Power Apps? ›

There are two main types of Power Apps: Canvas apps and Model-driven apps.

How do I learn Azure for data analytics? ›

Steps to become Microsoft Azure Data Analyst
  1. Take the Microsoft DP-900 Exam. ...
  2. Gain skills with Microsoft Learning. ...
  3. Step 3: Take Instructor-led Training: Microsoft Azure Data Fundamentals. ...
  4. Step 4: Learn Data Analytics Concepts. ...
  5. Step 5: Learn Azure Services. ...
  6. Step 6: Learn Programming Languages.

Is Azure a data visualization tool? ›

Azure Data Explorer integrates with various visualization tools, so you can visualize your data and share the results across your organization. This data can be transformed into actionable insights to make an impact on your business. Data visualization and reporting is a critical step in the data analytics process.

How Azure is used in data analytics? ›

Azure Data Lake Analytics is an on-demand analytics job service that simplifies big data. Easily develop and run massively parallel data transformation and processing programs in U-SQL, R, Python, and . NET over petabytes of data.

How do you explain a project in an interview sample? ›

How To Explain Your Project In An Interview?
  1. Introduce the project. ...
  2. Describe the project modules. ...
  3. Detail the purpose and function of the project. ...
  4. Talk about the tools you used. ...
  5. Mention challenges and how you overcame them. ...
  6. Highlight your teamwork skills. ...
  7. Note the duration of the project.
Mar 3, 2023

What are the two main blocks that make up an M code query? ›

Syntax Of M Query:

It is divided into two blocks of programming : Let expression block and In expression block.

Why should I hire you? ›

Your skills and qualifications. If you can prove that you've got all the skills that the company is looking for in a candidate, you'll have effectively answered the question. Your passion and motivation. You can highlight how good of a company fit you'd be and how much you love working in your field or industry.

What would you say are your strengths and weaknesses? ›

What employers are looking for:
Analytical skillsHard skills (defined by the job description)
Communication skillsSoft skills (such as public speaking)
Leadership skills
Ability to work in a team

How do you introduce yourself in a project interview? ›

Just sit back and note down the following pointers on how to ace self-introduction.
  1. Dress Appropriately. ...
  2. Prepare What To Say. ...
  3. Begin By Greeting the Interviewer. ...
  4. Include Your Educational Qualifications. ...
  5. Elaborate on Professional Experience (if any) ...
  6. Mention Your Hobbies And Interests. ...
  7. Be Prepared For Follow Up Questions.

What are the 4 basic query types in databases? ›

They are: Select queries • Action queries • Parameter queries • Crosstab queries • SQL queries. Select Queries Select query is the simplest and the most common type of query. It retrieves data from one or more tables depending on what is needed and displays the result in a datasheet.

What are the 3 parts of a SQL query? ›

SQL has three main components: the Data Manipulation Language (DML), the Data Definition Language (DDL), and the Data Control Language (DCL).

What is difference between DAX and Power Query? ›

DAX only comes into play in the second step, in data analysis. We primarily calculate measures and KPIs, and and use DAX to filter for the visualization at hand. Power Query M is used for ingestion and data wrangling. DAX for data analytics.


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