Scheduled data import of new sports or events into the platform

Purpose

1.1. To automate the scheduled import of new sports or events into a betting agency's platform for continuous and up-to-date odds and market management.
1.2. Automates event listing updates, ensuring customers always see the latest betting opportunities.
1.3. Automates data ingestion from multiple feeds or providers into a single internal system.
1.4. Handles mapping, deduplication, validation, and enrichment of new data for real-time odds posting.
1.5. Automates cross-platform data synchronization and alerts in case of import errors or mismatches.

Trigger Conditions

2.1. Time-based schedules (e.g., every hour, daily at midnight) for automated data retrieval.
2.2. Availability of new sports or events at provider/source APIs.
2.3. Webhooks alerting when new data sets are released by data vendors.
2.4. Manual trigger for urgent data pulls.

Platform Variants

3.1. AWS Lambda
• Feature/Setting: Scheduled event trigger; configure function to fetch/import and process sports event API payload automatically.
3.2. Google Cloud Functions
• Feature/Setting: Cloud Scheduler to trigger function; automate scheduled API polling and event data upsertion.
3.3. Microsoft Power Automate
• Feature/Setting: Recurring flow; automate pulling data from sports API and pushing to database.
3.4. Zapier
• Feature/Setting: Schedule by Zapier; automate HTTP GET on sports feed, post data to platform endpoint.
3.5. Integromat/Make
• Feature/Setting: Scheduler + HTTP modules; automate fetching sports events and mapping to marketing system.
3.6. Workato
• Feature/Setting: Scheduled jobs; automate API fetch and transformation, then push to CRM/odds engine.
3.7. Segment
• Feature/Setting: Source connector; automate streaming incoming sports event data to analytical warehouse.
3.8. Tray.io
• Feature/Setting: Scheduler trigger; automate API calls and automated parsing/payload formatting.
3.9. Apache Airflow
• Feature/Setting: DAG on schedule; automate pulling from sports data API, perform validation, push to database.
3.10. MuleSoft
• Feature/Setting: Scheduler-based flow; automate ingesting sports event feed and route to downstream APIs.
3.11. Boomi
• Feature/Setting: Scheduled integration process; automate data collection from providers, enrichment, and delivery.
3.12. Celigo
• Feature/Setting: Scheduled flow; automatically fetch and normalize sports events between sources and destinations.
3.13. UiPath
• Feature/Setting: Time-triggered bot; automate extracting and entering new event data into line management software.
3.14. Talend
• Feature/Setting: Job scheduler; automate periodic ingestion and transformation of events data.
3.15. Informatica
• Feature/Setting: Taskflow with schedule; automate extraction, transformation, and loading operations.
3.16. Salesforce
• Feature/Setting: Platform Events/API; automate creation/import of new sports/event records on schedule.
3.17. Postman
• Feature/Setting: Monitors; schedule automated API tests/gets to validate and fetch event data.
3.18. Azure Logic Apps
• Feature/Setting: Recurrence trigger; automate event imports and link to backend SQL/NoSQL stores.
3.19. Oracle Integration Cloud
• Feature/Setting: Scheduled orchestration; automate mappings and batch imports of new sports/events.
3.20. IBM App Connect
• Feature/Setting: Scheduled event flows; automate API calls for data and map to core betting databases.

Benefits

4.1. Automates repetitive manual imports, saving operational time and reducing errors.
4.2. Keeps odds and event listings automatically updated for end-users' betting experience.
4.3. Enhances accuracy, ensuring automated data consistency across all markets with every import.
4.4. Scales easily by automating new provider integration.
4.5. Detects and alerts automatedly on discrepancies, reducing risk and manual oversight.