Databricks for Broadcast and Streaming

The next-generation data platform that helps you drive smarter consumer and advertiser outcomes with tools to know, grow and retain engaged viewers

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Meet Data Lakehouse: The best of both worlds in one platform

A data lakehouse unifies the best of data warehouses and data lakes in one simple platform to handle all your data, analytics and AI use cases. It’s built on an open and reliable data foundation that efficiently handles all data types and applies one common security and governance approach across all your data and cloud platforms.

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Why Databricks for broadcast and streaming?

Get more value from all your data

Unlock insights from both structured and unstructured video/image/NLP media assets to create new content monetization opportunities.

Drive stronger business outcomes through collaboration

Data teams can innovate and deploy solutions faster, thanks to the collaborative workspace of the Databricks Lakehouse Platform.

Operate at the speed of business

With optimized streaming ingest, pre-built offerings with top solution providers, and real-time model serving with MLflow, accelerate consumer and advertiser outcomes for your business.

Leverage pre-built models for ML and AI

Databricks has a collaborative notebook environment with managed runtime for machine learning models, as well as Solution Accelerators for common use cases including customer lifetime value and churn prediction.

Databricks for broadcast and streaming use cases

Databricks empowers teams to build more effective personalized experiences at scale, improve advertising performance, and derive more value across your entire content portfolio.

Audience experience

Create a personalized, frictionless journey to move consumers from anonymous to advocate

Personalization engines
GDPR/CCPA compliance
Churn management
Forum moderation
Streaming quality of service

Advertising performance and optimization

Give sales and operations teams the right insights to increase advertising performance and targeting

Attribution
Inventory and yield management
Audience segmentation and targeting
Campaign performance
Ad verification

Content lifecycle

Advanced insights on content pricing, crew scheduling, content metadata extraction and more

Product development lifecycle
Content pricing and analytics
Crew/resource optimization
Image/profanity recognition
Slate management and monetization

Transforming broadcast and streaming with Lakehouse

“With the Databricks Lakehouse Platform on AWS, Warner Bros. Discovery is powering the future of content discovery and audience experiences. By leveraging data to better predict consumer behavior and provide personalized content recommendations in real time, we are able to customize the viewer experience and improve overall engagement for our customers.”

— Martin Ma, GVP, Engineering at Warner Bros. Discovery