Data Migration using Synapse to D 365

Introduction

Data Migration from legacy systems or external platforms into Microsoft Dynamics 365 (D365) using Azure Synapse Analytics brings significant benefits to both business operations and decision-making processes. By leveraging Synapse’s powerful data integration and transformation capabilities, organizations can efficiently move large volumes of data into D365 with improved accuracy and consistency.

One of the key impacts is the ability to streamline data preparation. Synapse allows users to clean, transform, and map data to D365’s structure before loading, which reduces errors and minimizes the risk of data loss or duplication. This results in a smoother migration process and a more reliable end system.

Another major impact is enhanced data visibility. With Synapse, businesses can analyze and verify data before it’s committed to D365, ensuring that only relevant and validated information is transferred. This helps maintain high data quality and supports better business insights once the migration is complete.

Additionally, performance and scalability are key advantages. Synapse supports parallel processing and scalable architecture, allowing organizations to handle large-scale data transfers without disrupting ongoing operations. Whether it’s a one-time migration or part of a continuous integration setup, this process supports long-term growth and system optimization.

Moreover, leveraging Synapse with D365 encourages better collaboration between IT and business units. Teams can work together to define data requirements, validate results, and adjust mappings in real-time, leading to better alignment across departments.

In summary, migrating data using Synapse to D365 significantly improves data quality, migration efficiency, and organizational alignment, while supporting business goals with accurate, timely information.

Key Impacts

50%

Faster Processing

60k

Saving per year in platform cost

Use Case:

• Client approached to migrate its legacy AX2012 to Dynamics 365 and
  designed pipeline in Synapse analytics and continue sourcing data from
  existing applications

Solution:

• Defining data management platform architecture
• Designed data entity mapping for AX and D365 system.
  Integration with different Source Systems –AX2012, real time data and Semistructure data etc.
• Designing and implementation data storage and data access strategies in
  cloud storage
• Development and designing of pipelines in ADF and Spark notebook for data
  transformation
• Migration of existing reports & dashboards and pointing to cloud data storage.