Understanding Requirements: The firm will work with both systems to understand their data structures, API endpoints, and integration needs.
Choosing the Right API Type: They may decide between REST, SOAP, or GraphQL based on the systems involved and the data complexity.
Authentication and Security: Implementing secure authentication methods like OAuth, API keys, or JWT tokens to ensure data is securely exchanged.
Schema Mapping: The firm will map the data fields from the source system to the target system, ensuring that the data formats are compatible.
Data Transformation: If needed, the firm will convert the data (e.g., XML to JSON, or vice versa) and handle any formatting or scaling necessary for smooth integration.
Automation: Designing pipelines that automate the process of extracting data from one system, transforming it, and loading it into the target system.
Data Cleansing: Ensuring data quality by handling missing, duplicate, or erroneous data before transferring it between systems.
Real-Time Monitoring: Setting up systems to monitor the integration process in real-time, ensuring data flow consistency and handling any disruptions or errors.
Logging: Keeping logs of data transfers for auditing and troubleshooting purposes.
Error Detection: Implementing robust mechanisms to detect failures or inconsistencies during API calls or data transfers.
Retry Logic: Setting up retry policies to handle temporary network or system issues, ensuring no data is lost during integration.