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The Architecture of Power BI

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. This report authoring tool enables businesses to readily visualize and analyze their business information to transform their activities. Here in this article, we will see various components included in Power Bi architecture. This guide will help you in  installing Power BI.Microsoft Power BI ArchitecturePower BI architecture consists of four steps. Let's look at them in detail:Sourcing DataTransforming InformationReport & PublishCreating a Dashboard1. Sourcing Data: Power BI can supply information from a wide range of internet facilities and file kinds. The information can be imported into Power BI or a live service link can be established to receive the information. If you import a Power BI file, it limits the compressed data sets to 1 GB. If the information set exceeds 1 GB, then the direct query may be used. For big information sets, there are two other choices.                     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- 1. 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.2. 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.3. 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.4. 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.5. 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.6. 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.7. Power Map: 3D Geospatial Data Visualization Tool.8. 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.9. 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).10. 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 :1. 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.2. 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: 1. 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.2. 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.3. 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.

The Architecture of Power BI

7K
  • by Ashish Kumar
  • 23rd Aug, 2019
  • Last updated on 11th Mar, 2021
  • 12 mins read
The Architecture of Power BI

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. This report authoring tool enables businesses to readily visualize and analyze their business information to transform their activities. Here in this article, we will see various components included in Power Bi architecture. This guide will help you in  installing Power BI.

Microsoft Power BI Architecture

Microsoft Power BI Architecture

Power BI architecture consists of four steps. Let's look at them in detail:

  1. Sourcing Data
  2. Transforming Information
  3. Report & Publish
  4. Creating a Dashboard

1. Sourcing Data: 

Power BI can supply information from a wide range of internet facilities and file kinds. The information can be imported into Power BI or a live service link can be established to receive the information. If you import a Power BI file, it limits the compressed data sets to 1 GB. If the information set exceeds 1 GB, then the direct query may be used. For big information sets, there are two other choices.

                     Power BI premium 

                     Azure analytics services

List of Data Sources supported in Power BI

  • Files:
    Excel, XML, JSON, Text/CSV,Folder and SharePoint Folder
  • Database:
    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 Database
  • Azure:
    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 Query

2. 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 BI

Components in Power BI

There are four major components in Power BI which play an important role in delivering Power BI capabilities- 

1. 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.

2. 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.

3. 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.

4. 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.

Power BI Product Service

There are other components as well which we should understand to get benefits of advanced capabilities of Power BI.

Advanced Capabilities of Power BI

5. 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 Query in Power BI

6. 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 BI Q&A function

7. Power Map: 

3D Geospatial Data Visualization Tool.

3D Geospatial Data Visualization Map in Power BI

8. 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.

9. 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).

Power View Dashboard in Power BI

10. 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.

SSRS Reporting service in Power BI

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 :

1. 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.

WFE Cluster in Power BI

2. 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.

Backend Cluster in Power BI

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: 

1. 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.

2. 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.

3. 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.

Ashish

Ashish Kumar

Senior Technology Specialist

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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IIBA® and IEEE Computer Society have partnered to offer a robust learning and certification program on Cybersecurity Analysis for business analysts who are working on the Cybersecurity aspects in the organizations.Benefits:  You would be equipped with the basics of cybersecurity needed to assist in the overall cybersecurity solution.  You would become an expert by learning essential concepts and industry best practices in cybersecurity.Demand:  CCA Certified Professionals are in high demand in organizations that need Cybersecurity solutionsSalary:  An IIBA-CCA earns an average salary of $85,000 every year.Industries hiring IIBA-CCA Professionals:  Information Technology and Technology companies requiring cybersecurity solutions.How to take training for IIBA-CCA:  Training should be taken from an IIBA® EEP (Endorsed Education Provider). The EEPs also gives the much-needed PDUs (Professional Development Units) on course completion, and guidance in form filling for the exam.Who should take IIBA-CCA training:  This certification recognizes the competencies of BA professionals with five plus years’ experience executing analysis-related work in the cybersecurity context.Duration:  You should spend 2-4 months for studies and then attempt the examination.Course Fee:  The Course fee ranges from $200-$350 from the IIBA EEP (Endorsed Education Provider).Application Fee:  $1250Exam Fee:  $350 for members, $475 for non-members.Retake Fee:  $300 for members, $425 for non-members.Refer to for the details on application fee, exam fee and Retake fee for IIBA-CCA Certification.6. Certification in Business Data Analytics (IIBA®- CBDA)IIBA awards Certification in Business Data Analytics (IIBA®- CBDA) to business analytics professionals who have passed the exam. This certification would help you to execute analysis related work in support of business analytics initiatives.Benefits:  After achieving this certification, you would be an expert in the Business data analytics discipline by which you can apply specific set of techniques, competencies and practices to perform the continuous exploration, and investigation of business data.  You would get an edge in terms of providing insights about a business that can lead to improved evidence-based decision-making.Demand:  IIBA®- CBDA Certified Professionals are in high demand in all the domains that require business analytics capabilitiesSalary:  An IIBA-CBDA earns an average salary of $100,000 every year.Industries hiring IIBA®- CBDA Professionals:  Information Technology, Manufacturing, Real Estate, Banking, Financial Services, Technology Companies.How to take training for IIBA®- CBDA:  Training should be taken from an IIBA® EEP (Endorsed Education Provider). The EEPs also gives the much-needed PDUs (Professional Development Units) on course completion, and guidance in form filling for the exam.Who should take IIBA®- CBDA training:  This certification recognizes the competencies of BA professionals with five plus years’ experience executing analysis-related work in an analytical context.Duration:  You should spend 4-5 months for studies and then attempt the examination.Course Fee:  The Course fee ranges from $300-$350 from the IIBA EEP (Endorsed Education Provider).Exam Fee:  $450 325for members, $575 375for non-members.Retake Fee:  $400 200for members, $525 325for non-membersRefer to for the details on application fee, exam fee and Retake fee for IIBA-CBDA Certification.7. IQBBA – Foundation LevelIQBBA awards IQBBA – Foundation Level certification as a base qualification in the BA field. This certification would help you to learn the basics of Business Analysis and Requirements Engineering.Benefits:  You would be equipped with effective elicitation of requirements from users who may not actually know what they need  You would learn the proper ways of documentation of the requirementsYou would know how to help a set of users through the process of user acceptance testing  You would know how to reduce requirement maintenance time by using effective analysis techniquesDemand:  IQBBA - Foundation Certified Professionals are in high demand in all the domains that require the business analysis activities by the mid-level business analysts.  Salary:  An IQBBA – Foundation Level earns an average salary in range of $25,000 - $40,000 every year.Industries hiring IQBBA – Foundation Professionals:  Information Technology, Manufacturing, Real Estate, Banking, Financial Services, Technology Companies.How to take training for IQBBA – Foundation:  Training should be taken from the accredited training providers listed at: Who should take IQBBA – Foundation training:  This training should be taken by business and system analysts, requirements engineers, product owners and product managers. IQBBA also expects the participants to have a basic experience in solution concept, design or development.Duration:  You should spend 2-3 months for studies and then attempt the examination.Course Fee:  The Course fee ranges from $200-$300 from the accredited trainers.Application Fee:  $0Exam Fee:  Ranges from EUR 150 to EUR 200 as per exam location selectionRefer to for Exam fee per locationRetake Fee:  Same as Exam feeFor retake, you should contact your accredited training provider for retake exam fee and process8. IQBBA – Advanced LevelIQBBA awards IQBBA – Advance Level certification as an advanced qualification in the BA field. The Advanced Level aim to further improve the Foundation Level skills acquired by business analysts who have gained the Foundation level certification. The Advanced Level helps in developing more advanced skills in the specific knowledge area of IQBBA Business Analysis approach – for example, in the scope of Requirements Management.Benefits:  You would be more proficient in Business analysis Process management, Requirements Management and Strategic analysis and optimization.Demand:  IQBBA - Advanced Certified Professionals are in high demand in all the domains that require the business analysis activities by the senior-level business analysts.  Salary:  An IQBBA – Advanced Level earns an average salary of $75,000 every year.Industries hiring IQBBA – Advanced Professionals:  Information Technology, Manufacturing, Real Estate, Banking, Financial Services, Technology Companies.How to take training for IQBBA – Advanced:  Training should be taken from the accredited training providers listed at:  Who should take IQBBA – Advanced training:  This training should be taken by senior level business and system analysts, requirements engineers, product owners and product managers. IQBBA also expects the participants to have a basic experience in solution concept, design, or development.Duration:  You should spend 3-4 months for studies and then attempt the examination.Course Fee:  The Course fee ranges from $200-$300 from the accredited trainers.Application Fee:  $0Exam Fee:  Ranges from EUR 150 to EUR 200 as per exam location selectionRefer to for Exam fee per locationRetake Fee:  Same as Exam feeFor retake, you should contact your accredited training provider for retake exam fee and process9. PMI Professional in Business Analysis (PMI-PBA)®Project Management Institute (PMI)® awards the PMI Professional in Business Analysis (PMI-PBA)® certification to professionals who have the requisite experience and have passed the rigorous exam. This certification is very suitable for you if you work with project teams and manage requirements or product development, or if you’re a project or program manager who performs business analysis as part of your role.Benefits:  For those business analysts who work with stakeholders in defining requirements, shaping project outputs and driving intended business outcomes, the PMI Professional in Business Analysis (PMI-PBA)® will help in spotlighting your valuable skills.Demand:  PMI-PBA professionals are in high demand in all the domains that require the business analysis as well as support the project management activities.  Salary:  A PMI-PBA earns an average salary of $85,000 every year.Industries hiring PMI-PBA Professionals:  Information Technology, Manufacturing, Real Estate, Banking, Financial Services, Technology Companies.How to take training for PMI-PBA:  You should enrol in a formal study course offered by PMI chapters or Authorized Training Partners. You can also review self-study books published by Authorized Training Partners and other reputable training organizations.Who should take PMI-PBA training:  Business Analyst AspirantsProduct ManagersNon-BA consultantsTrainersHybrid Business Analysis professionals, including: Project Manager, Testers, Quality Assurance (QA) professionals, Change/Transformation Managers, and DesignersDuration:  You should spend 4-5 months for studies and then go for examination.Course Fee:  The Course fee ranges from $300-$500 from the accredited trainers.Application Fee:  $0Exam Fee:  $405 for members, $555 for non-members.Retake Fee:  $275 for members, $375 for non-members.10. Certified Professional for Requirement Engineering – Foundational, Advanced and Expert LevelThe International Requirements Engineering Board (IREB) awards the Certified Professional for Requirement Engineering – Foundational Level, Advanced Level and Expert level certifications. This certification is suitable for business analysts who want to excel at the requirement engineering concepts.Benefits:  Those business analysts who work with stakeholders in defining requirements, after gaining this certification will find themselves equipped with techniques and best practices of requirement engineering.Demand:  CPRE-FLs, ALs and ELs are in demand in all the domains that require experts in  business analysis and requirements engineeringSalary:  CPRE certified professionals earns an average salary of $75,000-$100,000 every year.Industries hiring CPRE-FL, AL and EL Professionals:  Information Technology, Manufacturing, Real Estate, Banking, Financial Services, Technology Companies.How to take training for CPRE-FL, AL and EL: You should enrol in a formal study course offered by IREB or Authorized Training Partners.Who should take CPRE training:  Attending a CPRE training course is recommended but not mandatory. The training providers recognized by IREB can prepare participants optimally for the exam.Duration:  You should spend 2-3 months for studies and then attempt the examination.Course Fee:  The Course fee ranges from $200-$250 from the accredited trainers.Application Fee:  $0Exam Fee:  Ranges from USD 140 to EUR 180 as per authorized training partner you are taking study guidance and exam Refer to, and for exam detailsRetake Fee:  Same as Exam feeFor retake, you should contact your accredited training provider for retake exam fee and processSummaryAs you can see, we’ve given you a ready reckoner of the top BA certifications in this article. The certification that is best for you should be chosen based on the experience that you have, how much study you need to put in, as well as the knowledge you need for your chosen career path. All the certifications mentioned in this article have helped thousands of professional in excelling in their careers.
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Top Business Analysis Certifications [To Advance A...

Are you an aspiring Business Analyst or one who is... Read More

SSRS Vs Power BI

SSRS and Power BI are both Business Intelligence tools specially designed to present data to the end user. Since both are part of the Microsoft BI stack, they are equipped with a different set of audiences and applied in different practices.Before we discuss the differences between the two, let’s first understand each of these clearly.What is SSRS?SQL Server Reporting Services (SSRS) is a server-based comprehensive extensible reporting platform that comes free with SQL Server 2012. It is one of the most powerful tools for several years. There are many features that can be used to create reports that suit customer requirements. The SSRS service provides an interface into Microsoft Visual Studio so that it can be connected to the SQL databases and use SSRS tools to format SQL in various complex ways.What is Power BI?Power BI is a business analytics service provided by Microsoft. It is a collection of apps, connectors, and software services that work together to turn your unrelated sources of data into coherent. Power BI lets you easily connect to your data sources and analyze what is important. It allows the user to have access to reports and personalized dashboards which provides a complete 360-degree view of the business from all the diverse sources.Main Differences Between Microsoft Power BI and SSRSFollowing are the major differences between “Microsoft Power BI and SSRS”BasisSSRSMicrosoft Power BIHistorySSRS was first introduced in the year 200 which provides a unified, server based, and scalable platform through which all the business reporting needs can be satisfied.Power BI report server is a cloud-based business analytics service introduced in the year 2017 for analyzing and visualizing data introduced in 2017.LicenseIt is paid device.It is free to utilize which will also reduce the acquisition barriers.ApplicabilitySSRS is used for producing the server-based reports.Power BI is used to produce cloud-based and server-based reports.DependencySSRS can work with structure and semi-structure of information.Power BI can manage structured and unstructured data. One of the best features of Power BI is the ability to save data to Excel.ConvenienceAccess to web and work area.Power BI can utilize through the work area, web, and mobile applications.ComponentSSRS is an enterprise visualization tool based on old technology.Power BI is HTML 5 open source app-enabled and cloud-enabled SAAS.NatureBecause of its rich graphical component, it is easy user-friendly.Power BI is less user-friendly.ImplementationSSRS implementation is complex compared to Power BI.Power BI uses cloud storage and simple implementation process.Size limitThere is no limit for the size of a data set.Whereas, it has a limit of 1GB data in the free version. You can create multiple datasets in it.SSRS and Power BI are the two leading business intelligence tools that organizations use around the globe designed to present data to the end user. Both are part of the Microsoft BI stack and geared towards different audiences and intended to be consumed in different manners. SSRS is a server-based reporting platform that provides comprehensive reporting functionality for a variety of data sources where Power BI is a cloud-based service. Since Power BI is meant for an advanced and modern solution it invites users to get started with it themselves rather than SSRS. The users who are only concerned with reports can opt for SSRS. But, if the users need more insight then it’s good to go with Power BI. It’s not about the tool, but it’s all about the impact that we achieve.The following image will help you understand better the differences between Microsoft Power BI and SSRSYou can also understand the differences between Power BI and Tableau here.Why SSRSFollowing are the few main reasons to choose SSRS:SSRS allows better and more accurate decision-making mechanism for the usersIt allows users to interact with information without involving any IT professionalsIt is an intensified tool compared to other crystal reportsIt provides a host of security featuresWhy do we need Power BI?Here are some of the key benefits of using Power BI:A large amount of data can be processedHelps in transforming your enterprise data into rich visualsLess engineering resources to useIt can be embedded into your own custom appsConclusionThe choice between Power BI and SSRS can be decided completely based on requirements. It depends on your organization if it used paginated reports on premises then SSRS will be a more cost-effective option. On the other hand, if you already have SQL Server Enterprise Edition with Software Assurance then Power BI Reporting Services will likely to be your preferred choice.Do you want to create dashboards and reports automatically without having to depend on information technology staff or database administrators? Don't waste any more time you can take up Power BI course!. This Power BI training will definitely help you in creating outstanding reports!
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SSRS Vs Power BI

SSRS and Power BI are both Business Intelligence t... Read More

Limitations of Power BI

Every business wishes to establish its brand in the market as well as grow exponentially. This is where business intelligence plays a crucial role, as it is a very important factor in the process of branding and other decision-making processes. To help you with an effective decision-making process and get down to conclusions, Microsoft presents with a very riveting analytics tool, Power BI. The primary tools of Power BI include Power Query, which is used for extraction and transformation; Power Pivot, which is used to model and analyze; Power View and Map, which is used to visualize data. The Power BI Designer combines various separate tools into an all-in-one application, that removes all its dependencies to Excel or Office. The PowerBI Site or service,  PowerBI.com is widely used to share reports, datasets and dashboards.Apart from these,  Power BI allows various other tools which will be very advantageous for you. But, there are a few cons as well. Read along to know what are the limitations of PowerBI that you might come across while working. Limitations of Power BI1. Microsoft Excel power users will benefit bestIt can be noted that most of the business users that you will come across will not be a power user of Microsoft Excel. In case the end-users of your business intelligence model are business users, then it should be noted that Microsoft Power BI will be very challenging to use, especially if you are not a Microsoft Excel power user. 2. Complex in natureThis is one of the major drawbacks as Microsoft has designed Power BI in a very complex manner. Power BI has a long list of components and it is difficult to understand which component you may need. To name a few, there’s Power Bi Desktop, the Power BI Gateway, the Power BI Services,  etc. Moreover, there are no moving parts available for this software, which might make you spend a lot of time and energy trying to figure out the function of each part. This makes the product even more challenging to troubleshoot, which leads to an increase in the total cost of ownership. 3. Data qualityMicrosoft Power BI does not provide with any data cleansing solution. Meaning, it assumes that the data you are pulling has been cleaned up well in advance, and is of high quality. So, in case you need data cleansing aptitude, you might need to look for an alternate solution to cleanse your data. 4. Does not handle large data sources properlyIf you have a large data set which needs to be analyzed, Microsoft Power BI will not be the best option for you. You might face trouble in connecting and importing large datasets, as well as problems such as slow performance and time-outs. 5. Performance IssuesSometimes Power BI might face performance issues as it has been observed that it has not been able to process more than 20000-30000 rows without running into issues for some queries. It might just timeout during the processing. To opt-out of facing this issue, you can create multiple queries in order to cover the full range of data, and split them up according to the dates. 6. Bulky User InterfaceThe formula help window and side par often block the view of vital, making the user interface of Power BI to be very bulky.  The making of scrolling dashboard will require a lot of efforts since it is not a native feature.7. Limited Sharing of Data Reports and dashboards can be shared only with those users who have the same email domains or the ones who have their email domains listed in your Office 365 tenant.To sum it all up, if your organisation is Microsoft favoured and has a group of Microsoft Excel power users, then the chances are very high that Power BI will work well within your organisation. Professionals who work on charts, pivot tables, and formulas in Excel can use  Power BI to quickly convert data into information. Have you employed Power BI or Power BI Pro? Leave your comment below to share your experiences with us!
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Limitations of Power BI

Every business wishes to establish its brand in th... Read More