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- SSIS Control Flow
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- Working with Report Models in SSRS
- Working With SQL Server Management Studio in SSIS
- Working with SSRS Reporting Services Configuration Manager
- T-SQL Interview Questions
Incremental load in SSIS
Daily data — (Stores) –> Table
(Granularity data)
- Maintain history [SCD]
- Direct loading
- ETL loading (indirect load)
Eg: loading the specified days data from one table to another table.
Sol: Go to SSIS → variable → click add and create two variables
Name Scope Data type Value
EDATE Package Data time 6/2/2011 12:36 AM
SDATE Package Data 6/2/2011 12:36 AM
1) OLEDB source → rt click → edit →
OLEDB connection manager: local host:: DB-MSBI
Access mode: SQL command.
SQL command text:
Select * from Emp-Daily where St-Dt between?
And?
Click parameters:
Parameter 0: USER:SDATE
Parameter 1: USER:EDATE
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2) OLEDB destination → EMP-HIST table.
3) SSIS menu → package configurations → check enable package configuration → click add → next
Configuration type: XML configuration file.
Configuration file name: Browse and specify file new name click nextà
Go to SDATE and EDATE and check the ‘value’ sections.
Next → finish → close
Open configuration file → change SDATE and EDATE and run the package.
SSIS Import Export Wizard
It performs operations between database to database, database to file, file to file.
a) BIDS level:
Data source:
Server name: Local host
Database: DB-MSBI → Click next →
[ ⁄ ] Copy tables or views
[ ⁄ ] Write a query to retrieve the data from data set
Now the system creates a package according to the settings given, execute the package and observe the result i.e., go to for DB new in databases and observe.
b) SSMS level:
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List of Related Microsoft Certification Courses:
| SSRS | Power BI |
| SSAS | SQL Server |
| SCCM | SQL Server DBA |
| SharePoint | BizTalk Server |
| Team Foundation Server | BizTalk Server Administrator |
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Last updated: 03 Apr 2023
About Author
Ravindra Savaram is a Technical Lead at Mindmajix.com. His passion lies in writing articles on the most popular IT platforms including Machine learning, DevOps, Data Science, Artificial Intelligence, RPA, Deep Learning, and so on. You can stay up to date on all these technologies by following him on LinkedIn and Twitter.
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