Telecom-ETL-SSIS

Project Overview

Telecom-ETL-SSIS is a robust Extract, Transform, Load (ETL) solution designed to handle telecom data efficiently using SQL Server Integration Services (SSIS). The project processes large volumes of telecom-related data, including critical fields such as IMSI, IMEI, and EVENT_TS. It ensures data quality through validation, error handling, and thorough logging, making the data ready for analytics and reporting.

Features

Data Extraction: Reads data from flat files (CSV) and other telecom data sources.
Data Transformation & Validation: Applies strict mapping rules and validation logic to fields like IMSI, IMEI, and timestamps.
Data Integrity: Invalid records are rejected and stored in a separate error table for review.
Comprehensive Error Handling: Logs all errors encountered during extraction and transformation phases.
Data Auditing: Metrics like the number of processed, stored, and rejected records are tracked for full traceability.
Automated Workflow: Processed files are moved to designated folders to maintain an organized system.

Technologies Used

SQL Server Integration Services (SSIS): The primary tool for developing the ETL pipeline.
SQL Server: The database for storing and processing telecom data.
Visual Studio: Used for managing data flow .

Data Transformation & Validation:

Processed critical fields such as IMSI, IMEI, and EVENT_TS based on strict mapping rules.
Ensured data integrity by rejecting records that didn't meet criteria, storing them in a separate table for review.

Data Quality Assurance:

Stored essential metrics like the number of processed, stored, and rejected records.
Linked processed records back to their original CSV files, ensuring full traceability.

Efficient Data Storage:

The ETL process is designed to store validated data in a structured database model that aligns with business requirements.
Processed CSV files are automatically moved to designated folders, ensuring a clean and organized file system.

Logging & Auditing

The package includes robust logging and auditing mechanisms:

Logging: Each task logs its execution status to track failures and successes.
Audit Table: Batch metadata is inserted into an audit table to ensure full traceability of the process.

To run the ETL process:

Open SSIS and load the solution.
Run the package via SQL Server Agent or manually through SSDT.

Contributing

We welcome contributions! Feel free to:

Fork the repository.
Create a new feature branch.
Make your changes and submit a pull request.