Order Data Sync using Pagination Body (OAuth 2.0)

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Workflow Name:

Partner Order Details Data Sync to Datalake Using Pagination Body (OAuth 2.0)
Purpose:

Automatically extract partner order details via API with pagination and sync to the Datalake.
Benefit:

Ensures complete; accurate; and real-time partner order data for analytics and operations.
Who Uses It:

Data Engineers; Operations Teams; Analytics Teams
System Type:

Partner Data Integration Workflow
On-Premise Supported:

Yes (via secure proxy)
Supported Protocols:

HTTPS; REST API
Industry:

E-commerce / Enterprise Data Operations
Outcome:

Accurate, real-time, and fully structured partner order data in Datalake
Category:

Description

Problem Before:

Manual partner order data extraction was slow; incomplete; and error-prone.
Solution Overview:

Automated API calls with body-based pagination; transformation; and secure Datalake push.
Key Features:

OAuth 2.0 API; pagination handling; data mapping; batch logging; error retries.
Business Impact:

Improves reporting accuracy; reduces manual effort; and enhances trust in partner order data.
Productivity Gain:

Teams avoid manual extraction and reconciliation; saving hours weekly.
Cost Savings:

Reduces operational overhead and errors by automating partner order ingestion.
Security & Compliance:

OAuth 2.0 tokens encrypted; API compliance


Order Data Sync – Partner Order Details to Datalake Using Pagination Body (OAuth 2.0)

Order Data Sync automates the extraction of partner order details via API using pagination and OAuth 2.0 authentication. This workflow ensures all partner order data is captured completely, processed efficiently, and synced into the Datalake for analytics and operational reporting.

Accurate & Complete Partner Order Data with Seamless Pagination

The workflow uses API pagination to retrieve large datasets without missing any records, while OAuth 2.0 provides secure access. Partner order details are validated, structured, and updated in real time, giving teams reliable insights, improved reporting accuracy, and streamlined operational efficiency.

Outcome & Benefits

Time Savings:

Manual extraction eliminated; real-time updates
Cost Reduction:

Removes manual API extraction overhead
Accuracy:

High accuracy with automated validation
Productivity:

Faster ingestion cycles; zero manual intervention

Industry & Function

Function:

Data Extraction; Sync; Automation
System Type:

Partner Data Integration Workflow
Industry:

E-commerce / Enterprise Data Operations

Functional Details

Use Case Type:

Partner Order Data Sync
Source Object:

Partner order records via API
Target Object:

Datalake tables for analytics & operations
Scheduling:

Hourly or daily
Primary Users:

Data Engineers; Ops Teams
KPI Improved:

Data completeness; sync reliability; reporting accuracy
AI/ML Step:

Optional anomaly detection for unusual order patterns
Scalability Tier:

Mid-to-Enterprise; supports high-volume APIs

Technical Details

Source Type:

REST API (Pagination Body)
Source Name:

Partner Order Management API
API Endpoint URL:

https://api.partner.com/orders
HTTP Method:

POST
Auth Type:

OAuth 2.0
Rate Limit:

Depends on API plan and throttling rules
Pagination:

Body-based pagination using limit/offset or nextPage token
Schema/Objects:

Order Details; Partner Info; Items; Pricing
Transformation Ops:

Data mapping; normalization; deduplication; timestamp conversion
Error Handling:

Retry logic; logging; rate-limit handling
Orchestration Trigger:

Hourly; daily; or on-demand
Batch Size:

500 -5,000 records per batch
Parallelism:

Multi-threaded API fetch
Target Type:

Cloud Datalake
Target Name:

PartnerOrders_Datalake_Zone
Target Method:

API push / cloud storage write
Ack Handling:

Success/failure logs stored in monitoring dashboard
Throughput:

Up to 20K records/hour
Latency:

<30 seconds per batch
Logging/Monitoring:

Execution logs; API response logs; error notifications

Connectivity & Deployment

On-Premise Supported:

Yes (via secure proxy)
Supported Protocols:

HTTPS; REST API
Cloud Support:

AWS; Azure; GCP Datalakes
Security & Compliance:

OAuth 2.0 tokens encrypted; API compliance

Case Study

Customer Name:

Partner Analytics & Data Ops Team
Problem:

Incomplete partner order data due to manual extraction and large datasets
Solution:

Automated API-based pipeline with pagination and OAuth 2.0 to sync orders to Datalake
ROI:

Complete partner order data available 2× faster for analytics
Industry:

E-commerce / Enterprise Data Operations
Outcome:

Accurate, real-time, and fully structured partner order data in Datalake

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