MSBI vs Power BI | Differences Between Power BI & MSBI


Introduction to Power BI:

Power BI is one of the popular business intelligence tools developed by Microsoft Corporations to offer various data modeling capabilities like data preparations, data visualizations, data discovery, and generating interactive data analytic dashboards. With the help of Power BI users can make powerful business-related decisions. This Power BI tool helps users to pull the data using various formats such as images, excel sheets, spreadsheets, and videos. The Power BI tool also helps to centralize the database management system, and you can also visualize the data model on it. 

The important basic components of the Power BI tool:

1. Power BI desktop:

This is a free application component available to install on your desktop, modify, visualize the data, and have full freedom to establish a connection. This also enables users to create the data model by using data from multiple sources and also you can create visuals and data reports and also share them with other team members in your organization.

2. Power BI services:

This is a cloud based service in the Microsoft cloud applications, which also eases the data sharing and collaborations of data reports. You can also bring all the relevant data sets into one place by using this component.

3. Power BI Mobile Apps:

This component will help us to bring the services and not wait for your desktop to start working. You can install this component on various operating systems like Windows 10, Androids, and IOS systems.

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Important features of Power BI:

The following are the important features of Power BI:

1. Offers a range of attractive data visualizations.

2. Helps users to collect data from different data sources.

3. Data set filtrations.

4. provides customizable dashboards.

5. Flexible tiles.

6. Navigation pane.

7. Informative reports.

8. Natural language Q & A Question box.

9. DAX data analysis functions.

10. Help and feedback buttons.

11. Microsoft office 365 Application launcher.

12. Great collection in content packs.

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Advantages of Power BI tool:

The below are the key advantages of using Power BI:

1. Hybrid deployment support:

This feature provides in-built connectors that enable Power BI tools to connect with various data sources from Microsoft and other vendors.

2. Quick insights:

With the help of this Power BI feature, users can create a subset of data and automatically apply analytics to that information.

3. Cortana Integration:

This feature enables users to verbally query data using natural language and access results using Microsoft digital assistant, Cortana.

4. Customization:

This feature helps developers to change the appearance of the default visualization and reporting tools while importing new tools into the platform.

5. API’s for data integration:

The Microsoft Power BI REST API feature helps developers embedded the Power BI dashboard and various resources in other software.

6. Lower upfront Costs:

The basic version of Power BI is a free subscription service, where the full power BI Pro costs $9.99 per month, per user.

7. Mobility:

Various Power BI tools are available for mobile apps in Android and IOS.

Click here to learn Power BI Tutorial

Limitations of Power BI:

The below are the few disadvantages of using Power BI:

1. This tool is very difficult to implement. You need to loop them in the development team, the IT team to get it executed.

2. To implement row-level security in power bi and tie your web application users with Power BI users.

3. With users coming and leaving an organization, it becomes a nightmare to manage.

4. Requires considerable investment.

5. You need to buy a premium capacity.

6. Not feasible for pro users.

7. Still users need to visit your web page and the information is not delivered to them.

Introduction to MSBI:

MSIB can be abbreviated as “Microsoft business intelligence”, and this product tool is developed to provide ETL capabilities. This tool helps users to visualize and organize the multidimensional data sources to provide data extraction, transformations, and loading (ETL) features. Microsoft’s business intelligence tool also transforms the raw data into effective insightful business data.

Microsoft business intelligence tool can be divided into three categories they are;

1. SSIS or SQL server integration services: this tool is used for data integration.

2. SSAS or SQL server Analysis services: This tool is used for data analysis.

3. SSRS or SQL server reporting services: This tool is used for reporting.

      Become a MSBI Certified professional  by learning this HKR MSBI Training !

Features of MSBI:

The following are the key features of MSBI or Microsoft business intelligence tool:

1. This tool offers end-to-end single business solutions.

2. .net, web services support MSBI.

3. Easy integration tools with .NET and share point.

4. This is a Microsoft product.

5. Very easy to install and use.

6. Very less price compare to others.

7. Graphical user interface-based business intelligence tool.

8. Supports multiple servers without performance loss.

9. Also supports SEMO warehousing operations.

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Advantages of MSBI:

1. Offers easy data exploration and data visualization:

This is the world of data exploding, this tool offers the ability to explore valuable data and also perform data visualization tasks to get greater results. When compared with other business intelligence tools, I think this is an awesome tool in the data visualization process.

2. Acts as a managed self-service Business intelligence tool:

This Microsoft business intelligence tool provides an effective self-service business intelligence tool. The MSBI also acts as a Microsoft Excel that is used by everyone in their day-to-day activities to produce and report the data analytics.

3. This tool makes use of Native MS excel features:

The MSBI tool makes use of Microsoft Excel features to the core in order to produce effective data analysis. By using excel Microsoft excel features it’s very easy to collect data from multiple data sources.

4. MSBI tool supports Web service applications:

MSBI tool works well with programming languages like .NET and SQL database servers to build an effective web service application and also offers abundant benefits to the clients.

5. End-to-end Business solutions:

MSBI provides you a great business solution for your organization and enables users to make effective business decisions. This tool offers entire top-to-bottom business solutions.

6. Data warehouse applications:

Business intelligence tool offers greater data analytical solutions. You can collect the data warehouse from various sources. This type of warehousing is more suitable to extract the information to carry the data analytical task effectively.

 Want to know more about MSBI,visit here MSBI Tutorial.

Limitations of MSBI:

The below are the few disadvantages of using MSBI:

1. MSBI tool crowded with a lot of user interfaces, so users may get confused.

2. Sometimes very difficult to understand and master the tool concepts.

3. consists of rigid formulas.

4. Offers limited data handling in free versions.

Criteria used to compare between MSBI and Power BI tools:

While comparing these two tools, the user may get confused to decide on what basis you need to perform the comparison. We are here to help you out to select which criteria are more important in your organization.

1. Definition

2. Advantages

3. Mechanism of working

4. User-friendly

5. Data handling capacity

6. Learning curve

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Major differences between MSIB and Power BI:

MSBI VS Power

Here are the major differences between MSIB and Power BI based on criteria:

1. Definition:

a. The MSBI tool helps to integrate the data processing components and programming user interface. This may also help in the testing and data deploying reports in the organization.

b. Power BI tool used to access a wide range of data analytical points to generate and analyze the data reports. This tool is mostly used in turning unshaped data types into structured and modeled data formats.

Click here to get latest Power BI Interview Questions and Answers for 2022

2. Working mechanism:

a. MSBI tool is an on-premises software and available in the form of its own server format and equipment.

b. Whereas Power BI tool is cloud-based application software, used to access data through the web browser.

3. Advantages:

a. This MSBI tool has a greater drill-down feature and offers high data access.

b. Whereas Power BI has a greater data visualization, and also offers high-level visual representation.

4. User Experience:

a. MSBI tool is more difficult and very manual when compared to power BI. So user considers this too as their second option when it comes report generation task.

b. Power BI has a good graphical component and that provides an edge over the MSBI tool. So this is a great tool to use when it comes to reporting generation.

5. Data Handling:

a. MSBI has a capacity to handle semi structured and structured data and helps users to generate larger reports data.

b. Power BI is capable to handle both unstructured and semi structured data.

6. Learning curve:

a. In the MSBI tool, all the codes which are related to reporting generation are handled by developers.

b. Power BI consists of graphical features, they fulfill the data visualization and report generation process. So non-programmer can also learn this tool. 

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Conclusion:

The main moto to use both MSBI and Power BI tools to protect business data and offers data insights. These business intelligence tools are most widely used by business analytics, IT professionals, and data analysts. I think most of the top companies prefer to use the Power BI tool to offer effective data visualization process, we can say that MSBI is a less popular tool. In this blog, we have differentiated both MSBI and Power BI tools on the basis of various criteria. 

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Introduction To The Alteryx :

Alteryx is one of the popular self-service data Analytical tools. This helps the business users to build their data workflows quickly and faster preparation of data blending without any programming skills. We can perform many tasks using Alteryx such as drag, a drop of workflow, and cleaning of data. These tasks enable business users to produce the data output quickly and effectively by analyzing the data input. Alteryx is an American computer software company based in California with a development center in Broomfield, Colorado. These company products are mainly used for data science and Analytic purposes.

Become a master of Alteryx Tools by going through this HKR Alteryx Training !

Alteryx File Types :

There are four major Alteryx data types available they are;

  • Alteryx workflow.
  • Alteryx data files.
  • Special files.
  • License files.

Let us know each file type in detail ;

Alteryx workflow types:

Below are the important Alteryx workflow data types, they are;

  1. yxmd (workflow)
    An Alteryx workflow defines the repeatable workflow process and has a file extension of .yxmd. All of the inputs, outputs, and tool configurations are saved within a single Alteryx workflow so that it is easy for users to open and run the Workflow multiple times. 
  2. yxwg (Workflow group)
    A workflow group defines the multiple workflows that you can save and open multiple files as one file at a time. With the help of this workflow group, extension file type you can create already existing, and locally-saved workflows.
  3. yxmc (macro)
    A macro is a type of workflow group file type that you can run as a single tool within another workflow. With the macro-design settings, a developer can easily specify the parameters so a user has multiple options to configure the workflow from a single available tool.  To configure this workflow macro data type, go to the workflow properties -> select the option “window change” -> then choose the macro data type to proceed with further operations.
  4. yxwz (Analytic app)
    With the help of this Analytic app data type, a developer can create application designs to run a few applications in the Alteryx environment. The developers are able to create an alteyrx, specify a series of parameters that defines the user environment, and the original design workflow is updated with the user’s specification. Access Analytical application from a web browser if it is saved to the Gallery – or via a server or desktop installation. Always make use of the analytical application design settings to specify the parameters, so that enables users to have multiple options to configure the workflow from a customer user interface.
  5. yxzp (packaged workflow)
    A.yxzp is a workflow package that consists of all the workflow file types such as .yxmd, .yxmc, or .yxwz. All the dependencies of the workflow data types are zipped into a single file. You can import this file into Alteryx which ensures that users can easily distribute and share workflows with users.
  6. yxi (packaged tool)
    A .yxi file is a package that includes only the Alteryx packages and all the dependencies are zipped into a single file. When you install this file in the Alteryx designer from any external source such as the Alteryx public gallery (extension is gallery. Alteryx. com), then the tool will be added to the palette that defines the categories. The .yxi data type is installed in:

           \Users\USERNAME\AppData\Roaming\Alteryx\Tools\

            Administrators can optionally choose to install a .yxi tool for all the users, in which case the tool is installed in:

           \programData \Alteryx\ Tools.

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Alteryx data files :

Below are the important Alteryx data files:

  1. yxdb (Alteryx database)
    The Alteryx database is a kind of file type that contains data fields, values, and spatial objects. This type of file type is the more efficient file type for reading and writing in Alteryx because there is no zero limit to access the file, it is compressed for maximum speed, and also holds additional metadata that referred to the source of the data and how the data was created. 
  2. cydb (Calgary database)
    The Calgary database is a data type that uses the indexing methodology to quickly retrieve records. A database index is a file structure that improves the data speed and retrieval operations on a database table. Indexes in the data table can be created that provides the basis for rapid random lookups and efficient access of ordered record. There is a 2^31 limit on the number of records in a Calgary database. This type of database is designed for around 100-300 million records.
  3. cyidx (Calgary Index)
    The Calgary index is a dependency for a Calgary database (.cydb) when this file type is written, an index file is created for each field of the database. The index makes it possible to quickly retrieve the data records that are based on specific queries that are generally configured by the users.

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Special files

  1. yxwv (App values)
    This is a type of .xml file type that consists of the values and syntax that will update a data analytic app. Some data analytic apps have a lot of configuration options and users want to save their specifications to reuse them again and again. This file type cannot be encrypted and any password that you have stored is clear text.  .yxwv file helps to populate the Alteryx application interface each time you run the Analytic application. It is also possible to open and save .yxmv from the Alteryx analytic application interface. 
  2. yxft (field type)
    The Alteryx field type is a text file that gives you the complete configuration description. Once saved, the field type file (.yxft) can be loaded via the select tool or any tool that is embedded with it.
  3. bak (backup copy of a workflow)
    A backup file is created as soon as the workflow is edited and saved. This .bak file is the workflow in the state prior to the most recent save. If you have created the .bak file in the same directory and saved it within the same name.
  4. pcxml (composer file)
    A .pcxml (composer file) is a type of XML file that contains a proprietary language used by Alteryx for reporting purposes. Alteryx application can read and render a .pcxml file for reporting the output. But sometimes users cannot use this type of file instead they can create report snippets. 
  5. log (log files)
    Log files are created when an alteryx engine or a core component of the Alteryx engine that throws a fatal error. The log file holds a piece of information about where or when the error has occurred. 

           The log files are written in the following directory:

           C:\Users\username\AppData\Local\Alteryx\ErrorLogs\APPLICATION_NAME

           The following error message produces the log file:

            An unhandled exception error occurred.
            You have found a bug or ticket.

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License file type

The license file types help you to generate the activation file with the given user email id. 

The following are the primary license file types that are used commonly.

  1. yxlc
  2. slc
  3. cylc
  4. alc
  5. gzlc 

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Final Thought :

Learning Alteryx fundamental concepts will expedite a data virtualization career. The data analytics market is booming like a rocket. This is because our day-to-day activities depend on the data we consume. Alteryx is a popular data analytic and data visualization tool among other data analytic platforms. In this Alteryx file type, we have listed 4 major types which you can use as per your requirements. Along with these file types, Alteryx is famous for its one more benefit that makes it unique from other data analytic platforms that is the “ETL” function. It’s always good to upgrade yourself with the core concepts of the tools that always help you to stand out from the crowd.

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2. Tableau vs Alteryx



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