SSIS Tutorial

What is SSIS?

Below three important projects help to complete the business intelligence course task.

• SSIS: SQL Server Integration Services
• SSAS: SQL Server Analysis Services
• SSRS: SQL Server Reporting Services

SSIS:  It helps to perform a wide range of data migration tasks and collect data from various data sources and store them into a central location.

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It performs three important things. Extraction, Transformation,  and  Loading.

Extraction (E):  Collection of data from different sources.

Transformation (T):  A different form of data obtained from different sources and it converted according to business needs.

Loading  (L):  Data warehouse contains the loaded data.

Features of SSIS

1.Studio environments
2.Packages
3.Expressions.
4.Event handler
1.Studio Environments

SQL Server Integration Services included two studios

SSDT:  SQL  Server Data Tools

It helps to develop the integration service  packages  and We can perform the following  jobs  in SSDT

• Copy basic package data from source to destination
• Complete flow control and data flow are included when to create the packages
• We can update the properties of packages while run time
• Deployment creating
• Save package copies to SQL server msdb

Step 1: Open the SQL Server data tools.
Step 2: Click on File –> New –> Project

SSMS: SQL Server Management Studio

It helps to manage packages in a production environment and we can perform the following jobs in SSMS.

• Folder creation to organize the packages
• With the help of Execute package utility, we can run the packages and stored  on the local computer
• Generate a command line when we run the execute package utility
• Storing and fetching packages to and from the SQL Server msdb

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2.Packages

An SSIS package is a collection of Control flow and data flow ,control flow includes the two things such as task and data flow task and Data flow includes source, transformation, and destination.

3.Expressions
SSIS Expression is a combination of literals, identifiers, and operators
Literals: An interpreted variable is known as a literal, different type of literals are

• Numeric literal: expression supports integral literal and nonintegral literal
• String literal: It has zero or more characters enclosed with the quotation and also it always followed by the \ symbol.
• Boolean literal: It has only two options true or false.

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4.Event Handling
Creating event handler is similar to building packages and SSIS event handlers are

OnError,OnExecStatusChanged,OnInformation,OnPostExecute,OnPostValidate,OnPreExecute,OnProgress,OnTaskFailed,OnVariableValueChanged,OnWarning.

Example:  Let us consider two excel sheets as  follows

File 1

File 2

Translate the File 1 into  second excel  i.e, File 2 sheet compatible  format

Step 1: Create  a new project

Click file –> new –> project. Select Integration service from the group.

It will open up the SSIS designer which we will use for creating and maintaining Integration service packages.

In the SSIS package folder, we can see the default package created with the name “Package.dtsx”.
Step 2: Create a connection manager to excel sheet.

Select excel and click on  add, Select the browser button and choose the excel file path

Step 3: Rename the connection manager.

Right-click on the connection manager and change the name as SourceExcelManager.

Step 4: Repeat step 3 and create another connection manager and pointing to the resultant file. Change the name as DestinationExcelManager.

Step 5: Create control flow: transfer data from source excel to destination excel.

We should select the control flow in the SSIS designer. Drag data flow task from the toolbox to designer

Rename the data flow task into “source excel to destination excel transfer task”.

Flow control: It helps to define the workflow and also control the flow of execution.

Step 6: Create the data flow

It helps to define the flow of data between source and destination.

Step 7: Create an Excel Source

Choose an excel source from the source group and place it in the designer.

Step 8: Configure the Excel sheet

Double click the excel source.

Select Data Source as “SourceExcelManager”, Data Access Mode as “Table or View” and Name of the sheet as “DataSheet1”

Step 9: Create a derived column.

In this toolbox from the Transformation group drag Derived column to SSIS designer.

Step 10: Connect Source to Derived column

Click on this arrow and connect it to derive a column.

Step 11: Configure the derived column
Double click on the derived column.

Write down Derived Column Name as Name, Select expression as Title + “ “ + FirstName + “ “ + LastName
Click Ok.

Step 12: Create an Excel Destination

Add excel designation in the SSIS toolbox.

Step 13: Attach Derived column to excel destination.

Follow step 10, connect the derived column and excel destination.

Step 14: Configure Excel Destination

Double click on the excel destination

 Locate connection Manager to “ExcelConnectionManager”, the Data Access Mode to “Table or View” and Name of the excel sheet to “Datasheet1”.

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Click on mapping

Step 15: Execute the package
Press F5

We can find the output like below

Uses Of SSIS

1. Combining data from heterogeneous data stores
2. Populating data warehouses and data marts
3. Cleaning and standardizing data
4. Building BI into the data transformation process
5. Automating administrative functions and data loading

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