Project Name
How Ksolves Migrated SSIS to NiFi and Reduced Data Processing Time by 60% for a Leading Retail Brand
A leading multi-brand retail enterprise managed large-scale customer, product, and store operations data across multiple internal systems. Their data flows were orchestrated using SQL Server Integration Services (SSIS). However, as data volume grew, the organization needed faster processing, greater flexibility for real-time analytics, and a scalable platform capable of handling spikes in store, web, and POS transactions.
To meet these demands, the company partnered with Ksolves to migrate its ETL pipelines from SSIS to Apache NiF for improved processing efficiency, better visibility, and enhanced scalability.
The client was struggling with various challenges that include:-
- Long Processing Time for Daily Workloads: SSIS batch jobs often run for hours, which delays business insights and operational reporting.
- Limited Scalability for High Data Volume: As customer transactions increased, SSIS packages required frequent manual tuning to handle throughput.
- Lack of Real-Time Data Movement: SSIS was primarily batch-oriented, which restricts real-time visibility of inventory and sales.
- Complex Change Management and Deployment: Even small transformation logic updates required editing, packaging, and redeploying SSIS solutions.
Ksolves led a structured migration initiative to transition SSIS-driven workflows to Apache NiFi, enabling a flexible, scalable, and real-time data pipeline framework.
- Re-Designed Data Flows in Apache NiFi: Implemented template-driven ingestion, transformation, and enrichment pipelines for consistency and reuse.
- Enabled Real-Time and Batch Processing: Delivered immediate data flow for real-time insights along with scheduled batch jobs for legacy and archived data workloads.
- Introduced Visual Monitoring & Data Lineage: NiFi’s built-in provenance and flow views provided clear traceability and reduced debugging time.
- Optimized Output to Analytical and Operational Systems: Data was routed to SQL Server, S3, Kafka, and BI systems based on workflow logic.
- 60% Faster Data Processing: Daily and incremental jobs are completed in minutes instead of hours.
- Real-Time Operational Visibility: Inventory, sales, and store performance dashboards now update continuously.
- 35% Reduction in Maintenance Effort: Visual flow changes eliminated frequent SSIS package edits and redeployments.
- Improved Data Reliability & Traceability: NiFi’s built-in lineage and provenance made it easier to detect and resolve issues instantly.
- Seamless Scalability During Peak Traffic: The NiFi cluster auto-scaled to handle transaction spikes during festivals and sale seasons without downtime.
- Lower Cost of Pipeline Management: Reduced dependency on specialized SSIS developers and minimized infrastructure overhead.
The migration from SSIS to Apache NiFi enabled the retail company to modernize its data workflow infrastructure with real-time capabilities, improved performance, and simplified pipeline maintainability. NiFi now acts as the centralized data integration layer powering daily store operations, omnichannel analytics, and inventory optimization processes.
Looking to Modernize Your ETL Architecture? Ksolves Experts are Here to Assist You.
