Transforming Logistics Data Model with AWS Data Migration Services.

Challenge: Inefficient data management within the transportation management systems (TMS)

Our client faced the significant challenge of managing multiple transportation management systems (TMS) – encompassing domestic, intermodal, and international loads. The data from all three TMS systems were consolidated and maintained within an Azure SQL Data Warehouse. They aimed to develop a customer portal for monitoring loads across systems, regardless of the origin of the TMS system.

Recognizing the need for unified customer data, the client sought to construct a global customer database. Simultaneously, a pivotal challenge emerged while transitioning load-related data from the legacy SQL Data Warehouse to an Amazon Aurora PostgreSQL database on a separate network. This intricate process demanded meticulous execution to ensure a seamless migration without disrupting essential financial reports.

These challenges highlighted the need for an expert team capable of navigating complex data integration issues and constructing an efficient logistics solution.

Solution: Streamlined data migration and unified customer database implementation

We initiated a transformative solution by seamlessly migrating load-related data to an Amazon Aurora PostgreSQL database.

Tech Stack

Amazon Aurora – PostgreSQL

AWS Database Migration Service

AWS Dynamo DB

Here’s what we implemented:

Centralized customer data using Amazon DynamoDB: We unified customer information from various sources in Amazon DynamoDB. This centralized database became a reliable master data source, improving data accuracy and supporting data warehousing.

Efficient data migration with AWS DMS: We implemented an efficient data synchronization framework by leveraging AWS Data Migration Service. Our team smoothly migrated over 15 tables with 500GB, from SQL Server to AWS Aurora PostgreSQL.

Secured migration in a dedicated VPC: We ensured network isolation by deploying DMS replication instances within a dedicated Virtual Private Cloud (VPC). This setup ensures migration tasks operate separately from ongoing production traffic, fostering security and efficiency throughout the migration process.

Optimized schema transformation through AWS DMS: Our team utilized AWS DMS capabilities to refine schema transformation, mapping data types and ensuring seamless SQL-to-PostgreSQL compatibility to streamline the migration process.

Robust security with AWS DMS features: Employed AWS DMS features, including encryption in transit and at rest, upheld strict security standards, safeguarding sensitive financial data throughout the migration.

With the above implementation, we centralized customer data, ensured efficient migration, and prioritized robust security for a smooth transition.

Benefits: 87% enhanced scalability & 3x faster decision making

Our implementation resulted in tangible outcomes and yielded a multitude of benefits for the client:

Enhanced customer experience: Streamlined load monitoring across systems has significantly elevated customer satisfaction and engagement.

Improved decision-making: Improved visibility into shipment details from multiple TMS systems, enabling informed decision-making.

Enhanced scalability: Future-proof architecture effortlessly adapted to the client’s expanding logistics operations, supporting increased load data and user demands.

Ready to modernize your logistics data management?

Our collaboration with MODE Global exemplifies how optimized data strategies brought tangible business growth.

zeb seamlessly integrates with AWS DMS solutions, offering a tailored approach to address your data requirements. Whether you’re struggling with legacy systems or aiming to modernize your data landscape, our expert team is poised to facilitate a seamless transition.

Connect with us today to redefine your data migration strategy.