Guide To Install Power BI
6K- by Ashish Kumar
- 25th Jul, 2019
- Last updated on 16th Aug, 2019
- 6 mins read
The Power BI demand has raised significantly in recent times due to its amazing features and acceptance by the data visualization professionals/business intelligence teams. Due to this exponentially increasing trend, people are more interested in knowing how to install Power BI on a system. We will see installation steps further in this article, but before that let’s check out the recent trends on the rising popularity of Power BI:
Power BI Dashboard
Below is the screenshot of the Power BI dashboard. This is how the dashboard looks after converting data from different data sources with the help of Power BI, a data visualization and Business Intelligence tool.
System Requirements for installing Power BI
The prerequisite system requirements for installing Power BI desktop version on your machine:
- The OS requirement for Power BI is as follows: Windows 7, Windows 8, Windows 8.1, Windows 2008 R2, Windows 10, Windows Server 2012, Windows Server 2012 R2, Window server 2016, Window server 2019
- The minimum IE version required is IE10
- The minimum .net version required is 4.6
- Hard Disk- At least 1 GB space is required to install the Power BI server and additional space is required to host Power BI database.
- RAM- Minimum: 1 GB and Recommendation: 4 GB or more
- Processor speed-Minimum x64 1.4GHz Recommended 2GHz or faster
- Processor - x64 Processor: AMD Opteron, AMD Athlon 64, Intel Xeon with Intel EM64T support, Intel Pentium IV with EM64T support
As we know that Power BI has two different variants so let us cover the installation of both variants separately. First, we will cover the scenario where the organization has already office 365 subscription :
1. The Power BI web client using Office 365- This version is used for connecting to Microsoft cloud. Let's go through step by step for using the same if we have already an office 365 subscription.
- In IE browser, navigate to Power BI Getting started link and click on “Sign in “ link which is available at the top right of the page :
- Next step is to log in with the organization’s office 365 account credentials:
- IIn case your office 365 access has not been activated for Power BI then you would see below screen:
2. Downloading the desktop version of Power BI
- Navigate to the Power BI download page for downloading the desktop version of Power BI.Power BI Download
- Clicking on download free will take us to Microsoft store from where we can get a copy of Power BI desktop version
- Clicking on Get will ask for confirmation if we would sign in with Microsoft account to use the desktop version on all compatible devices. After confirmation downloading will start and once download gets completed, we can launch a window installer.
- Once Power BI is installed, we can log in with office 365 account
Now let us cover standalone Power BI desktop installation if we do not have pro Office 365 subscriptions. Please find below steps for the same :
- Let first navigate to download page Power BI. Then we can select the language in which you would like to install Power BI
- We can also directly navigate to download page by visiting the direct link as well :
Download files Power BI .We can select the appropriate file based on the OS type. There are two variants of the file available, one is 32 bit and the other is 64 bit. We can download the correct file.
- After running the downloaded installer(assume we have downloaded 64-bit version) we come across below screen where we can follow the instructions to install Power BI :
- After successful installation, the welcome screen is launched which provides options to connect to data existing data models enrichment, creating new reports and publishing.
Uninstall Power BI Desktop:
- On the start menu, go to control panels.
- In control panels section ,click Add/Remove Program
- Then select Microsoft Power BI Desktop in the program list and click uninstall option.
Power BI on Mac:
There is no support available to run Power BI on Mac. But if we have Azure subscription then we can provision windows VM and install Power BI there. Once VM is configured, it is easy to remotely access VM from Mac machines.
Ashish Kumar
Ashish is working as a Senior Technology Specialist in leading financial bank has more than 13 years of experience in developing enterprise applications
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Data analysis has become very quick with Tableau and the dashboards and worksheets are the forms of visualization that are being created.The best part is that Tableau is a market-leading BI tool as well as the most trending tool used to visualize and analyze the user's data in a very easily digestible format.It also enables the user to work on live data-set and spend quality time on data analysis rather than data wrangling.Usage of Tableau software are listed below:They are used to translate queries into visualization.Managing metadata is also feasible through Tableau.It can even import data of all sizes and ranges.In the case of the non-technical user as well as Tableau acts as a lifesaver as it offers the facility to create ‘no-code’ data queries.What is QlikView?When we talk about the most flexible Business Intelligence platform for turning data into knowledge then Qlikview comes into the picture. 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It actually revolutionized the way organizations lets its user create data with the intuitive visual discovery that put business intelligence in the hands of more people than ever.Enterprise-scale analytics is also being performed with utmost ease and credibility.Usage of Qlikview software are listed below:Flexible Business Intelligence platform for converting data into knowledge.Consolidating, searching and visually analyzing data with simplicity.Even data discoveries in order to support decision making for end-users in the business.Key Difference between Tableau and QlikViewA quick view of the difference between Tableau and QlikViewFeaturesTableauQlikviewPerformanceProcesses data slower than QlikviewCombines large and complex data at a faster rateSpeedSlow in the data processingData processing and accessing is fasterCostCheaperBit costlyBig data supportGoodAverageMultidimensional CubesGoodLimitedVisualizationSimple and interactiveExcellentCustomizationSimpleComplex toolLet’s understand the differences brieflyEase of UseEverybody can analyze information with intuitive products for drag & drop. 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The drag & drop application even makes it very easy to learn for the end-users.QlikView also has actively engaged community and resources which ultimately helps the user learn this software in the best possible way.CostTableau: Here are Tableau’s new monthly prices: Tableau Desktop Personal, $35; Tableau Desktop Professional, $ 70; Tableau Server, $35; and Tableau Online, $42. Under the old model, a license, with annual maintenance, costs $999 for Desktop Personal and $1,999 for Desktop Professional. The server starts at $10,000 for 10 people, and Online is $500 per user per year.Qlikview: The personal edition in Qlikview is absolutely free with a limitation of no feature for document sharing. Per named user license is $1,350 and $15,000 for a concurrent user. Per Server license cost around $35,000. Additionally we require to pay $21,000/server in case of PDF distribution service; $22,500 for SAP NetWeaver connector.Might even require upgradation of RAM if the concurrent users are larger in number.Data VisualizationTableau is one of the industry's leading instruments for data visualization. Today, companies are investing more in information segmentation, clustering, and stronger analysis. It offers a user-friendly interface that enables even non-technical users to generate tailored dashboards rapidly and easily to give significant perspectives in a wide range of company data.QlikView, on the contrary, offers normal report creation characteristics, visualization templates, configurable graphs, and customized opinions that assist provide an interactive report in real-time. All the visualizations and data sets are shown as a quick reference when QlikView is in use. Qlik's product provides an in-memory engine that can view patterns and produce associative analytics that alone can not be achieved with SQL. The In-Memory Engine is able to integrate with diverse information source variants and create a unified dashboard that shows analyses, KPIs and metrics of our concern.Connectivity with Other tools/ Language or DatabaseTableau integrates successfully with a wide range of data sources which includes the spreadsheets, CSV, SQL databases, Salesforce, Cloudera Hadoop, Firebird, Google Analytics, Google BigQuery, Hortonworks Hadoop, HP Vertica, MS SQL Server, MySQL, OData, Oracle, Pivotal Greenplum, PostgreSQL, Salesforce, Teradata, and Windows Azure Marketplace. It can also coordinate with sources of Big data as well.Qlikview also integrates with high range of data sources like Amazon Vectorwise, EC2, and Redshift, Cloudera Hadoop and Impala, CSV, DataStax, Epicor Scala, EMC Green Plum, Hortonworks Hadoop, HP Vertica, IBM DB2, IBM Netezza, Infor Lawson, Informatica Powercenter, MicroStrategy, MS SQL Server, My SQL, ODBC, ParAccel, Sage 500, Salesforce, SAP, SAP Hana, Teradata, and many more. In this case, API integration can be used to connect with R. It can also readily connect with Big data sources.DeploymentSince tableau does not have their own data warehouse hence they have to generate layers while connecting with data set. The deployment becomes easier here since it needs more structured data.QlikView has its own data warehouse with an additional feature of scripting which acts as a feature in the cap leading to the use of multilevel layers in its deployment. QlikView is readily deployable and configurable and starts producing excellent reports immediately after the installation. An additional feature involves enabling interactive queries and creation of reports—a technology which is not found in other products since this product does not use cubes; hence loads all the tables and charts found in the memory. Both 32 and 64 bit can be used for the development. Data modeling becomes easier because of associative technology.SpeedIn the case of Tableau the speed varies based on two parameters, first being the RAM and second being the source's database. Tableau makes it extremely effective to produce in a matter of minutes of interactive views and reports. Tableau can also speed up the entire process since it enables online and offline report sharing. 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Tableau also renders the organizations in promoting trusted data sources for all users, so the right data is used to make the right decisions within seconds.PerformanceWhen compared with Qlikview, Tableau generates the output slower since it uses the cubing technique for data visualization. QlikView seamlessly combines all sizes of datasets hence are quicker when compared with Tableau.ScalabilityQlikView is a lot more scalable than Tableau. The Qlik Sense applications can be easily scaled especially while dealing with big data. But we cannot deny the fact that both the vendors handle a huge amount of data successfully. In Fact, most of the organizations do not produce the amount of data that both these can handle individually.Big Data SupportTableau has good support for Big data as compared to Qlikview.CustomizationSimple drag and drop features are available in Tableau. 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The main element of the drive to be agile, competitive, and efficient is business intelligence. As companies develop, the regular generation of information becomes very hard to handle. This, in turn, generates a road-block for data-driven businesses that want to use their data to drive company decision-making.In addition, the siloing impact and biased reporting structures across companies generate a scenario where decision-makers are compelled to make choices based on information that is partly accurate.This is why smart business systems are largely embraced. Establishing an analytical system to efficiently analyze data helps a company find helpful information, propose conclusion and promote improved decision-making. With its demonstrated technology track record, Microsoft has come to the fore with the implementation of its convincing analytics instrument, Power BI. 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Power BI premium Azure analytics servicesList of Data Sources supported in Power BIFiles:Excel, XML, JSON, Text/CSV,Folder and SharePoint FolderDatabase:SQL Server Database, Access Database, SQL Server Analysis Services Database, SAP HANA Database, SAP Business Warehouse server, Amazon Redshift, Impala, Google BigQuery (Beta), Snowflake,Oracle Database, IBM DB2 Database, IBM Informix database (Beta), IBM Netezza (Beta), MySQL Database, PostgreSQL Database, Sybase Database, Teradata DatabaseAzure:Azure SQL Database, Azure SQL Data Warehouse, Azure Analysis Services database (Beta), Azure Blob Storage, Azure Table Storage, Azure Cosmos DB (Beta), Azure Data Lake Store, Azure HDInsight (HDFS), Azure HDInsight Spark (Beta)Online Services:Power BI service, SharePoint Online List, Microsoft Exchange Online, Dynamics 365 (online), Dynamics 365 for Financials (Beta), Common Data Service (Beta), Microsoft Azure Consumption Insights (Beta), Visual Studio Team Services (Beta), Salesforce Objects, Salesforce Reports, Google Analytics, appFigures (Beta), comScore Digital Analytix (Beta), Dynamics 365 for Customer Insights (Beta), Facebook, GitHub (Beta), Kusto (Beta), MailChimp (Beta), Mixpanel (Beta), Planview Enterprise (Beta), Projectplace (Beta), QuickBooks Online Other:Vertica (Beta), Web, SharePoint List, OData Feed, Active Directory, Microsoft Exchange, Hadoop File (HDFS), Spark (Beta), R Script, ODBC, OLE DB, Blank Query2. Transforming information:After the information is imported into the Powerbi system, power bi offers a preview window for selecting columns or entities. There are many transformation choices available to perform the job if you need to edit the query.3. Report & Publish:We are prepared to produce reports after sourcing and editing the information. Reports are data visualization with filters and slicers in the form of graphs, charts and pie charts. A lot of custom visualization is also available. We can publish them to power bi facilities after generating reports. You can also publish them on the energy bi server assumption.4. Creating a Dashboard:We can create dashboards after publishing reports to Power BI services by pinning the individual elements or by pinning the page of the live report. The visual maintains the filter setting chosen when the report is saved when pinning the individual components. By choosing slicers and filters, pinning the Live Report page enables the dashboard user to communicate with the visual.Components in Power BIThere are four major components in Power BI which play an important role in delivering Power BI capabilities- Power BI Desktop:Power BI Desktop is free software that allows you to connect, convert and visualize your information on your local desktop. You can connect to various distinct information sources with Power BI Desktop and combine them (often called modeling) into a data model that allows you to create graphics and collections of images that you can share with other individuals within your organization as records. Most users working on Business Intelligence projects use Power BI Desktop to generate reports and then use Power BI to share their reports with others.Power BI Gateway:The on-site Power BI gateway can be used to maintain your information fresh by linking to your on-site information sources without moving the information. It enables you to query big datasets and take advantage of current investments. By linking to your on-site information sources without the need to transfer the information, you can keep your information fresh with the on-site gateways. Request big datasets and take advantage of current investments. The gateways provide the flexibility you need to satisfy your organization's individual requirements and needs.Power BI Mobile Apps:You can remain linked to your information from anywhere using Power BI mobile applications. For Windows, iOS, and Android platform, Power BI applications are accessible.Power BI Service:This is a cloud service for publishing Power BI accounts and visualization of information. It allows designers and BI experts to generate and distribute extremely formatted, pixel-perfect reports alongside their interactive Power BI content, becoming the first cloud BI solution combining the energy of self-service BI with traditional Enterprise BI scenarios ' requirements and capacities.There are other components as well which we should understand to get benefits of advanced capabilities of Power BI.Power Query:Mashup data and instrument for conversion. You can connect to many distinct information sources with Power Query in Power BI, turn the information into the form you want, and be able to generate reports and ideas rapidly. Power Query functionality is given in the Power Query Editor when using Power BI Desktop. Power Query is made available in Power BI Desktop through Power Query Editor. To launch Power Query Editor, select Edit Queries from the Home tab of Power BI Desktop.Power Q&A:Natural Language Question and Reply Engine. Sometimes asking a question using natural language is the fastest way to get a response from your information. The Power BI Q&A function allows you to use your own phrases to explore your information. Q&A is discussed in distinct papers in the Power BI mobile applications and Q&A with Power BI Embedded.Power Map: 3D Geospatial Data Visualization Tool.Power Pivot:Power Pivot is an element that models information in memory that allows highly compressed data storage and incredibly quick aggregation and calculation. It is also accessible as part of Excel and can be used within an Excel workbook to build a data model. Power Pivot can load information on its own, or Power Query can load information into it. It is highly comparable to the tabular model of SSAS (SQL Server Analysis Services), which is like a Power Pivot server-based variant.Power View:Power View is an interactive visualization instrument that offers a drag-and-drop interface for users to quickly and easily create information visualizations in their Excel workbooks (using the Power Pivot data model).SSRS Reporting services 2016:The integration between SQL Serb Reporting and the Power BI Services takes SSRS tiles to a Power BI dashboard with planned SQL Server Agent updates. This integration gives you the tile from SSRS reports. Integrating SSRS reports into the Power BI service will generate a connection to comprehensive SSRS reports from the Power BI dashboard.Clusters in Power BI Architecture The Power BI service is based on Azure, the cloud computing platform of Microsoft. Power BI is currently being deployed in many data centers around the world–there are many active deployments made available to customers in the regions served by those data centers, and an equal number of passive deployments serving as backups for each active deployment.Each deployment of Power BI comprises of two clusters–a cluster of Web Front End (WFE) and a cluster of Back End. The following picture shows these two clusters :WFE Cluster:The WFE cluster manages the original Power BI link and authentication process using AAD to authenticate customers and provide tokens for subsequent Power BI customer links. Power BI also utilizes the Azure Traffic Manager (ATM) to guide customer traffic to the closest datacenter, which is determined by the client's DNS record trying to link, authenticate and download static content and files. Using the Azure Content Delivery Network (CDN), Power BI effectively distributes the required static content and files to customers based on geographic location.Backend Cluster:How authenticated customers interact with the Power BI service is the Back-End cluster. The Back-End cluster manages visualization, user dashboards, datasets, reports, data storage, information links, information refresh, and other elements of Power BI service interaction. The Role Gateway functions as a gateway between customer demands and the service Power BI. Users are not directly interacting with positions other than the role of the Gateway. The Gateway Role will ultimately be managed by Azure API Management.How Power BI can be a game-changer for the enterprise?Power BI combines centralized DW / BI strategies with cloud data sources and self-service tools through its data catalog and data management gateway, as no other platform has yet been able to do. And as a SaaS solution, all its functionality is packaged so that it can be easily implemented and used by any organization. In brief, Power BI can speed up the adoption curve and make sophisticated BI Analytics as prevalent as Excel itself.Power BI provides all BI system stakeholders with game-changing capabilities: End-users:End-users wanted the capacity to access and evaluate information readily for a long time. The natural language query of Q&A and the smart visualization engine will do more to encourage each worker to use data as a basis for decision making.BI Analysts:Power Pivot provided power users with the capacity to create effective data models over big amounts of data, but the information required to "fit" into clean data models. The data transformation and flexibility of Power Query further empowers analysts to rapidly create their own end-to-end alternatives.IT & Data Managers:BI self-service has always been a subject of push-pull. Everyone wants the instruments and data that consumers need to create excellent choices. However, good governance, safety, and auditing are often seen as a roadblock for power users to make progress. The Power BI information catalog is interesting because it simultaneously encourages self-service and governance.Not every organization will move rapidly to embrace Power BI. For some, too much strategic shift will be represented too rapidly. There may be truly regulatory or other reasons for others that prevent cloud-based systems from being considered. But setting up an accessible and robust BI platform was challenging and cost-prohibitive for many organisations. Power BI can be the solution that ultimately makes sophisticated BI as simple and widely accepted as a search engine to use.
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based on 47 customer reviews
6432
- by KnowledgeHut
- 23 Aug 2019
- 12 mins read
The main element of the drive to be agile, competi... Read More
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2 comments
Good blog, Very clearly mentioned about power BI installation steps, Thanks for the great explanation!
This blog helped me how to install power bi, Thanks for the Ashish.