Custom Api integration
Overview
Datalent provides custom API integration between two systems, ensuring that data flows seamlessly and efficiently, facilitates smooth, secure, and efficient data integration between two systems through API development, data transformation, automation, performance optimization, and ongoing supportÂ
API Design and Strategy
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.
Data Mapping and Transformation
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.
ETL Pipelines
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.
Monitoring and Logging
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 Handling and Retry Mechanism
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.