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Business Records Sync into Dataverse

Client Overview

Client Name: Confidential
Industry: Real Estate
Solution: Reliable data pipeline between a cloud hosted API and Microsoft Dataverse

Problem Statement

Our client required a seamless solution to sync data from AppFolio into Microsoft Dataverse. Their objective was to automate data ingestion while ensuring accuracy, error handling, and efficient performance.

Requirements

Multiple API Endpoints

Careful selection and mapping of the available Skywalk API endpoints.

Data Transformation & Mapping

The JSON response structure needed transformation to fit the Dataverse table schema.

Error Handling & Logging

The client emphasized robust error handling and logging to track sync issues.

Data Migration & Deployment Strategy

A well-defined deployment approach was needed to ensure smooth migration of the existing data and go-live execution.

Solution Approach

1. Study, Analysis & Design

  • Conducted a requirement study and analysis.
  • Performed a technical deep dive into Skywalk API documentation.
  • Designed a high-level solution architecture for integrating Dataverse with Skywalk API.
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2. Development Phase

  • Implemented an API client for authentication and data retrieval.
  • Developed a data transformation layer to format API responses for Dataverse.
  • Created a synchronization logic to handle updates efficiently.
  • Implemented authentication and authorization mechanisms using Azure Active Directory (now Microsoft Entra ID).
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3. Testing & Deployment

  • Conducted unit and integration testing.
  • Performed an initial sync run and final deployment.
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Diagram

  • Automated Data Sync: Eliminated manual data entry, reducing errors and improving efficiency.
  • Robust Error Handling: Implemented logging and exception handling to track API failures.
  • Scalable Architecture: Designed a flexible system that can accommodate future API enhancements.

Conclusion

Our client appreciated the structured approach and seamless execution. The solution provided a reliable data pipeline between a cloud hosted API and Microsoft Dataverse, enhancing data availability and decision-making capabilities.

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