Data Collection & Integration Pipelines
The Data Collection & Integration Pipelines are designed to streamline how partners share data, enabling a flexible, secure, and efficient data flow into the system. Each method accommodates various data-sharing needs while ensuring data integrity and ease of access:
1. Cloud Storage Integration
Partners can push or dump data in CSV or Parquet format into a pre-configured, organization-shared AWS S3 bucket. We have jobs that pick up new files and process them automatically.
- Supports data dumps via AWS S3 buckets
- Accepts CSV, JSON, or Parquet formats
- Automated processing of new files
- Configurable validation and transformation rules
2. Message Queue Integration
We can use a pub/sub system with partners to share data in real-time, using AWS SQS for processing.
- Real-time data streaming via AWS SQS
- Pub/sub system for continuous data flow
- Guaranteed message delivery and processing
- Scalable for high-volume data transmission
3. Webhook Endpoints
We can provide webhook endpoints for partners to send POST requests. Although there are better methods for large-scale data processing, we can work with this option for smaller integrations.
- REST API endpoints for real-time data pushing
- Secure authentication and validation
- Immediate data processing and feedback
- Ideal for event-driven integrations
4. CDP & Database Integration
We can establish permissioned and access-controlled connections to partner CDPs (Customer Data Platforms). This allows us to pull the necessary data on a schedule, ensuring that data collection is streamlined.
- Direct connection to partner CDPs (e.g., Snowflake, Salesforce)
- Permissioned access with strict controls
- Scheduled data synchronization
- Maintains data lineage and audit trails
Updated 3 months ago