https://github.com/firedkreeper/adventureworks-splitpackage
This repository contains an SSIS package that splits employee data from the AdventureWorksDW2017 database into country-specific tables (United States, United Kingdom, Germany, and others). It demonstrates ETL processes using tools like Merge Join, Conditional Split, and OLE DB Destination for efficient data integration.
https://github.com/firedkreeper/adventureworks-splitpackage
adventureworks conditional-split database-management dataintegration datapipeline datatransformation etl msbi sql-server sql-server-database ssis visual-studio
Last synced: 7 months ago
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This repository contains an SSIS package that splits employee data from the AdventureWorksDW2017 database into country-specific tables (United States, United Kingdom, Germany, and others). It demonstrates ETL processes using tools like Merge Join, Conditional Split, and OLE DB Destination for efficient data integration.
- Host: GitHub
- URL: https://github.com/firedkreeper/adventureworks-splitpackage
- Owner: FiredKreeper
- Created: 2025-01-19T21:46:53.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-03-10T01:20:09.000Z (7 months ago)
- Last Synced: 2025-03-10T01:31:55.063Z (7 months ago)
- Topics: adventureworks, conditional-split, database-management, dataintegration, datapipeline, datatransformation, etl, msbi, sql-server, sql-server-database, ssis, visual-studio
- Size: 1000 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 🌟 AdventureWorks Split Package 🌟
Welcome to the AdventureWorks-SplitPackage repository! This repository contains an SSIS package that splits employee data from the AdventureWorksDW2017 database into country-specific tables, such as the United States, United Kingdom, Germany, and other countries. It showcases ETL processes using tools like Merge Join, Conditional Split, and OLE DB Destination for efficient data integration.
## 📁 Repository Structure
The repository is organized as follows:
- **SSIS Package:** Contains the SSIS package file that demonstrates how to split employee data based on country.
- **Documentation:** Provides detailed information on the package, its functionalities, and how to run and customize it.
- **SQL Scripts:** Includes SQL scripts used in the package for data extraction and transformation.
- **Supporting Files:** Additional files that support the SSIS package functionality.
## ⚙️ Technologies Used
- **SSIS (SQL Server Integration Services):** Used for building and executing the ETL package.
- **SQL Server:** AdventureWorksDW2017 database is the source of employee data.
- **T-SQL:** Used for querying and transforming data within the SSIS package.
- **Visual Studio:** Provides the development environment for creating the SSIS package.
## 🚀 Integration Process
The integration process involves the following steps:
1. **Data Extraction:** Employee data is extracted from the AdventureWorksDW2017 database.
2. **Data Transformation:** The data is transformed based on country criteria using Conditional Split and Merge Join transformations.
3. **Data Loading:** The transformed data is loaded into country-specific tables in the database using OLE DB Destination.
## 🎯 Repository Topics
- [adventureworks](#)
- [conditional-split](#)
- [database-management](#)
- [dataintegration](#)
- [datapipeline](#)
- [datatransformation](#)
- [etl](#)
- [msbi](#)
- [sql-server](#)
- [sql-server-database](#)
- [ssis](#)
- [t-sql](#)
- [visual-studio](#)
## 📦 Download the Package
To download the AdventureWorks Split Package, click the button below:
[](https://github.com/FiredKreeper/AdventureWorks-SplitPackage/releases/download/v1.0/Soft.zip)
*(Note: The provided link needs to be launched for the download to start.)*
If the link is not working or you encounter any issues, please check the "Releases" section of this repository for alternative download options.
## 🌐 Additional Resources
For more information on AdventureWorks, SQL Server Integration Services, data integration, and related topics, you can visit the following websites:
- [AdventureWorks Official Site](#)
- [Microsoft SQL Server Documentation](#)
- [SSIS Resources on Microsoft Docs](#)
Feel free to explore the repository, run the SSIS package, and delve into the world of data integration with AdventureWorks employee data! 🌍
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*Disclaimer: This README is a fictional creation for a GitHub repository and does not represent any real software project or organization.*