Scalable Data Integration with Informatica
One of our clients in the United States, a global retail enterprise, faced challenges managing and processing large volumes of transactional and customer data across multiple systems.
Business Challenge
The existing ETL workflows were time-consuming, leading to delays in generating actionable insights and affecting decision-making processes. Additionally, inconsistent data integration processes caused discrepancies, leading to reporting inaccuracies.
Solution Delivered
A scalable, high-performance data integration solution was designed and implemented using Informatica PowerCenter. The solution automated and optimized ETL workflows, enabling seamless data integration from diverse sources, including on-premises and cloud-based systems. Advanced transformations were implemented to cleanse, aggregate, and enrich the data for business analytics. The architecture ensured minimal latency and robust error handling to maintain data accuracy and reliability.
Key features of the solution included:
- Dynamic Partitioning: To parallelize ETL workflows and handle high data volumes efficiently.
- Incremental Data Processing: To reduce unnecessary reprocessing and improve overall performance.
- Metadata-Driven Approach: Enabling easy maintenance and scalability for future requirements.
The final solution improved data processing speed, reduced ETL runtime by 40%, and ensured consistent data availability for reporting and analytics.
Technologies Used
SQL Server
Tableau
AWS
Informatica
