Overview
Transform your data infrastructure by streaming customer data directly from Tealium to Snowflake. This integration lets developers build real-time data pipelines that maintain data freshness while optimizing for performance and cost.
Technical Architecture
- Direct streaming integration using Snowpipe Streaming API
- Support for both EventStream and AudienceStream data sources
- Microsecond latency for real-time analytics workloads
- Automatic schema management and data type handling
- Configurable batch sizes and streaming intervals
Developer Benefits
- Zero infrastructure management – serverless data ingestion
- Native error handling and retry mechanisms
- Automatic scaling based on event volume
- Built-in data validation and transformation
- Support for nested JSON structures
Implementation Options
-
Direct Streaming Mode
- Real-time event streaming with microsecond latency
- Configurable micro-batching for optimal performance
- Automatic table creation and schema evolution
-
Batch Processing Mode
- Optimized for high-volume data processing
- Configurable batch sizes and processing intervals
- Enhanced cost efficiency for large-scale operations
Data Management Features
- Automated schema detection and mapping
- Custom field transformation support
- Built-in data type validation
- Configurable error handling and dead letter queues
- Support for event replay and backfilling
Getting Started To implement the integration, you’ll need:
- A Snowflake account with Snowpipe API access
- Tealium EventStream or AudienceStream
- Appropriate Snowflake role permissions
- Private key authentication configured
