Data Integration for Media & Entertainment

Unify streaming analytics, social media, ad tech, and content platforms into a single data foundation. Enable audience insights, cross-platform measurement, and AI-powered personalization.

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Industry-Specific Outcomes

Cross-platform audience measurement across streaming, TV, and digital

AI-powered content metadata enrichment and tagging automation

Streaming quality and engagement monitoring dashboards

First-party audience data monetization for advertisers

Unified ad revenue analytics across programmatic and direct

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Popular Connector Workflows

Source System

Destination

Use Case

YouTube Analytics

BigQuery

Video performance analytics and content optimization

Instagram

Snowflake

Social media engagement and influencer tracking

Google Analytics 4

BigQuery

Cross-platform content consumption analytics

Facebook Pages

Snowflake

Audience demographics and social insights

Stripe

BigQuery

Subscription revenue and churn prediction

Media Data Pipeline Architecture

Connect content platforms, ad tech, and streaming analytics to centralized data warehouse for unified audience insights and monetization.

A lot of our legacy infrastructure was handled externally, and we are looking to build it internally to reduce the reliance on our external agency and improve management of the pipelines. For example, our current Airbyte setup has a single destination, PostgreSQL, with Freshdesk, Google Sheets, and SFTP successfully syncing data in. We first tried Airbyte with the publicly available Exchange Rate API, following the tutorial. Afterward, we used the CDK to build an SFTP connection to our Postgres database. It was very straightforward.