As part of the Microsoft SQL Server, SharePoint, and Office software, Microsoft offers a robust range of business intelligence resources. The Microsoft BI stack is a perfect extension for companies that have invested in Microsoft technology. Data integration (MSBI SSIS), analytics (SSAS), business intelligence (SSRS), and visualization are all Microsoft products. This software can be used alone or as part of a Share point framework, and it can be completely combined with Microsoft Office desktop products like Excel. online informatica training

Business intelligence

Business intelligence, or BI, refers to a collection of tools for scanning, identifying, and interpreting the right data or related information from a large amount of data to make better business decisions.

If the CEO requests account information, the accountant is contacted for the information, and the accountant, in exchange, shares the information via Google Drive. If the CEO needs customer details, the back-office staff will ask him or her for the information, and the back-office team will, for example, give the information to the CEO by email. When it comes to end-customers, let's presume they want to link to the company through an intranet/website. msbi developer course

MSBI SSIS

It will assist you in establishing an effective information management foundation using MSBI SSIS, allowing you to provide integrated, reliable, and timely data through the enterprise. In the fields of market intelligence, data warehousing, data migration, and master data management, our data management tools will help you provide trustworthy data. Our mission is to deliver reliable, appropriate, and actionable information to policymakers, resulting in increased profitability, customer loyalty, and operational performance. msbi online course

We will collaborate with you to ensure data is sourced accurately, ensure its accuracy, and have the necessary data infrastructure for efficient reporting and analysis using SQL Server Integration Services. The following areas are covered by our consultancy services.

• Integration of data from a variety of diverse sources

• To boost data consistency, data cleansing and profiling are used.

• Control of master data

• Data lineage and history are ensured by metadata management.

MSBI SSIS features

MSBI SSIS is a data aggregation service that incorporates data from different sources such as Sybase, Oracle, Text, Excel, and MySQL into a single format. It first refreshes and cleans the data before merging it. The OLTP (Online Transaction Processing) part of MS SQL Server is used to complete this integration process. msbi training

Knowledge management during its lifecycle to strengthen governance and compliance

1.Studio Situations

Two studios are used in SQL Server Integration Services.

SSDT: 

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It aids in the development of integration service packages and In SSDT, we will complete the following functions.

Basic kit data should be copied from the source to the destination.

When creating the packages, complete flow management and data flow are included.

Package properties can be modified at runtime.

Creating a deployment

Save kit copies to the msdb database on the SQL server.

Open the SQL Server data resources in stage one.

Step two: 

Pick File –> New –> Project from the File folder.

SQL Server Management Studio (SSMS)

It aids in the management of packages in a development environment, and we will use it to execute the following tasks.

To arrange the packages, build files.

With the support of Using the package utility, we will run and store packages on our local machine.

When we use the execute package utility, we need to create a command line.

Using the SQL Server msdb to store and retrieve packages.

2.Containers

Control flow comprises two things: task and data flow task and data flow task. The source, transformation, and destination of data are all part of the data flow.

3.Affirmations

Literals, identifiers, and operators make up an MSBI SSIS Expression.

Literal expressions: A literal is an encoded variable, and there are many types of literals.

Integral and nonintegral literals are supported by the numeric literal.

literal string: It is often preceded by the symbol which has zero or more characters enclosed with the quote.

Truth or false is the only choice in a Boolean literal.

4.Event Management

Consider the following scenario: Find the following two Excel sheets:

File 1 can be converted to a second Excel file, i.e., a File 2 sheet compliant format.

Step 1: 

Start a new project.

Pick file –> new –> project from the drop-down menu. From the drop-down menu, select Integration facility.

It will launch the MSBI SSIS designer, which will be used to create and manage Integration service packages.

The default package generated with the name "Package. dtsx".

Step 2: 

Create an excel sheet with a link manager.

Select Excel from the drop-down menu and press Connect. Choose the excel file route using the browser button.

Step 3

Rename the connection manager in step three.

Adjust the name of the link manager to SourceExcelManager by right-clicking on it.

Step 4:

Replicate step 3 and build a new link manager with the resultant file as the target. Rename it to DestinationExcelManager.

Step 5: 

Build a control flow by transferring data from the source to the destination excel.

In the MSBI SSIS designer, we should choose the control flow. From the toolbox, drag the data flow task to the planner.

The data flow task can now be called "source excel to destination excel conversion task."

Controlling the flow of information: It aids in the definition of the workflow as well as the monitoring of the execution flow.

Step 6

Create the data flow

It aids in the definition of data flow between source and destination.

Step 7: 

Create an Excel spreadsheet root

Place an excel source in the designer from the source community.

Step 8: 

Set up the Excel spreadsheet

Double-click the excel source to open it in a new browser.

Select "SourceExcelManager" as the data source, "Table or View" as the data access mode, and "DataSheet1" as the sheet name.

Step 9

Create a derived column.

Drag Derived column to MSBI SSIS builder from the Transformation category in this toolbox.

Step 10

Link the Root and Derived columns.

To create a column, click and add this arrow.

Step 11

Configure the derived column.

Pick the derived column and double-click it.

Pick expression as Title + “ “ + FirstName + “ “ + LastName, and write down Extracted Column Name as Name.

Click the OK button.

Step 12

Create an Excel Destination.

In the MSBI SSIS toolbox, add an excel designation.

Step 13

Attach the Derived Column to the Excel destination.

Link the extracted column and the excel destination in step 10.

Step 14

Configure Excel Destination

Double-click the excel destination to open it in a new window.

Conclusion

Our example problem can be solved if we centralize data on a single server. So, if we have a centralized server, the CEO, back-office staff, accountant, and end-customer can all share data on the same server. Thus, by keeping the Server unified, we were able to accomplish the same protocol/medium for data sharing. This will enhance inter-entity cooperation, and knowledge will be exchanged collaboratively.

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