You may have a big file or a large database table that you want to split up into different csv files. Instead of writing multiple queries for the different cases, you can use Conditional Split within SSIS to accomplish this task. There are also a multitude of other scenarios you can use it for.
Calling an Oracle stored procedure in SSIS is a little different than calling a SQL Server version. Today I will show you the error you get if trying the SQL Server syntax and how to fix it.
You just finished your SSIS project where you needed to load a CSV file into a Sql Server database table, but now you just found out that multiple files with the same data will now need to be loaded. Using the Foreach Loop Container in SSIS makes this relatively easy.
Here is an issue you may receive if you try to import data from an Excel spreadsheet into a Sql Server database table:
Error at Data Flow Task [OLE DB Destination ]: Columns “firstname” and “FirstName” cannot convert between unicode and non-unicode string data types.
If you have ever tried to run or create a SSIS extract package that exports to Excel, you may run into the error below:
[SSIS.Pipeline] Error: Excel Destination failed validation and returned error code 0xC020801C.
In last weeks posting, we created our first SSIS package which queried a database and saved the information to a file so we could send the information to a user. This week we are going to modify that same package to save the file with the date and time included in the filename.
What is SSIS? It stands for SQL Server Integration Services which may be used for building high performance data integration and workflow solutions, including extraction, transformation, and loading (ETL) operations for data warehousing. Today I am going to show you a simple solution on how to extract data and save it to a file. This exercise will show some commonly used elements to creating a lot of different solutions.