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Integrate Apache Kafka Source with Nielsen DCR
Don't go through the pain of direct integration. RudderStack’s Apache Kafka Source integration makes it easy to send data from Apache Kafka Source to Nielsen DCR and all of your other cloud tools.
Easy Apache Kafka Source to Nielsen DCR integration with RudderStack
RudderStack’s open source Apache Kafka Source integration allows you to integrate RudderStack with your Apache Kafka Source to track event data and automatically send it to Nielsen DCR. With the RudderStack Apache Kafka Source integration, you do not have to worry about having to learn, test, implement or deal with changes in a new API and multiple endpoints every time someone asks for a new integration.
Available via webhook
Send event data to Nielsen DCR by enabling webhooks in your RudderStack dashboard, then using our Transformations feature to shape the payload for the Nielsen DCR API. Once enabled, RudderStack will forward events to Nielsen DCR (note, this requires leveraging cloud API endpoints for Nielsen DCR ).
Popular ways to use Nielsen DCR and RudderStack
Stream behavioral data
Easily stream data from your website or app to [integration, destination=TRUE] in real-time.
Customize data payloads
Modify payloads to match requirements in [integration, destination=TRUE].
Connect your pipelines
Automatically send user behavior data directly to Nielsen DCR.
Frequently Asked Questions
About Nielsen DCR
Digital Content Ratings (DCR) offers a comprehensive measurement of digital content consumption across all major devices and platforms. Media sellers can use DCR to reduce ad wastage and drive revenue growth by effectively monetizing inventory across platforms for content with ads that do not match linear television ads and content with no ads at all.
About Apache Kafka Source
Apache Kafka is a popular distributed streaming platform. It allows you to handle large-scale workloads with high throughput and low latency. Apache Kafka is highly available and is used across the world for building real-time data pipelines and streaming applications.