Data Integration for Streaming Media Platforms

Unify viewer analytics, content metadata, and engagement data across platforms. Power recommendations and personalization with seamless data pipelines.

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Industry-Specific Outcomes

Content recommendation engines with behavioral analytics

Multi-platform viewer engagement and streaming quality monitoring

Ad targeting and campaign attribution across channels

Content metadata management for discovery and search

Quality of Experience (QoE) analytics and CDN optimization

Data engineering resources

Popular Connector Workflows

Source System

Destination

Use Case

YouTube Analytics

BigQuery

Video performance tracking and audience insights

TikTok Marketing

Snowflake

Social video campaign analytics and ROI

Postgres

BigQuery

User events for personalized recommendations

Snowflake

CDN log analysis for streaming quality

MySQL

BigQuery

Content catalog and metadata enrichment pipelines

Streaming Media Data Pipeline Architecture

Centralize viewer data, content metadata, and engagement events from multiple platforms into unified analytics layers for insights.

Cart considered acquiring another company to solve our foundational ELT needs and bootstrap our data products line. After due diligence, we decided it wasn't part of our core value proposition. It was better to partner with Airbyte, rather than take on this burden ourselves. Ever since, we've been able to focus on transformative innovation in the retail data space, rather than ELT.