Challenge
The client faced significant challenges with their reporting system. Reports were distributed across various systems, making it difficult to customize reports according to specific needs. Additionally, users struggled to filter data effectively or view the comprehensive data required. Key issues included:
- Distributed Reports: Reports were scattered across multiple systems, leading to inefficiencies and difficulties in accessing data.
- Lack of Customization: Existing reports could not be customized to meet specific needs, limiting their usefulness.
- Data Filtering Issues: Users were unable to filter or view all necessary data, impacting decision-making.
Solutions
To address these challenges, a centralized data warehouse was developed by Softcial using SQL Server. The solution included the creation of an ETL layer that connected to various data sources, extracted the information, and sent it to an Azure Data Factory. Key components of the solution were:
- SQL Server Data Warehouse: A robust data warehouse was built on SQL Server to centralize all historical data in a single repository.
- ETL Layer: Custom ETL processes were developed to connect to different data sources, extract the necessary information, and load it into the data warehouse.
- Azure Data Factory: Azure Data Factory was used to automate data extraction and transformation processes, ensuring data was updated periodically throughout the day.
- Power BI Reporting Platform: A centralized reporting platform was implemented using Power BI, providing a unified dashboard for all reporting needs.
Outcome
The implementation of the centralized data engineer platform led to several significant benefits:
- Centralized Data Repository: All historical data was consolidated into a single repository, making it easier to access and analyze.
- Automated Data Updates: Data was automatically updated at regular intervals throughout the day, ensuring reports were always based on the most current information.
- Unified Reporting Dashboard: The Power BI reporting platform provided a centralized dashboard, allowing for easy customization, filtering, and comprehensive data views.
Technologies:
SQL Server, Azure Functions, Azure Data Factories, Power BI