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DPD Polska's Real-Time Data Replication for Enhanced Parcel Delivery
Technology Category
- Analytics & Modeling - Real Time Analytics
- Infrastructure as a Service (IaaS) - Cloud Databases
Applicable Industries
- National Security & Defense
- Transportation
Applicable Functions
- Logistics & Transportation
- Quality Assurance
Use Cases
- Edge Computing & Edge Intelligence
- Real-Time Location System (RTLS)
Services
- System Integration
- Testing & Certification
The Challenge
DPD Polska, a leader in the Polish courier market, was facing challenges with its existing data management system. The company was using a series of on-premises PostgreSQL and Microsoft SQL Server databases to track its trucks, parcels, and people. However, the array of custom SQL databases was preventing DPD from producing timely reports, meeting disaster recovery time objectives, testing new data and analytic products, scaling up its revenues, and increasing its customer base. For instance, one of DPD’s databases had three different usage contexts. The company was in need of a log-based replication solution that would not impact its source systems. The main pain points were the replication time lags, the risk of errors in manual data distribution, and the need for more flexibility, greater reliability, and higher operational scalability.
About The Customer
DPD Polska is part of DPDGroup, the second largest international courier network. As the leader of the Polish courier market, DPD Polska delivers 200 million parcels annually. The company employs over 50,000 people and operates in the shipping and logistics industry. DPD Polska was using a series of on-premises PostgreSQL and Microsoft SQL Server databases to track its operations. However, the company was facing challenges with data replication, disaster recovery, and scaling up its operations.
The Solution
To address these challenges, system and data integrator Goldenore deployed Fivetran, a high-volume replication (Local Data Processing) solution. This enabled DPD to replicate data in near real-time from multiple sources into Oracle DB on-premise, PostgreSQL on-premise, and MS Azure without impacting source database performance. The solution provided DPD with log-based change data capture, near real-time replication, data validation, and visual statistics on data movement. As a result, DPD was able to effectively and safely replicate business-critical data to Azure and across its on-premise reporting and testing environments. The company is now working on replicating a new series of Microsoft SQL Server databases using Fivetran’s solution, zero downtime migrations of PostgreSQL, and migrations of business applications to MS Azure.
Operational Impact
Quantitative Benefit
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