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Easy PostgreSQL to Nielsen DCR integration with RudderStack
RudderStack’s open source Reverse ETL connection allows you to integrate RudderStack with your PostgreSQL to track event data and automatically send it to Nielsen DCR. With the RudderStack Reverse ETL connection, 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.
Popular ways to use Nielsen DCR
Send real-time data
Send real-time data from multiple sources to Nielsen DCR.
Easily send user data
Automatically send user information to Nielsen DCR.
Easily flag conversions
Automatically tag existing events as conversions in Nielsen DCR.
Frequently Asked Questions
How do you integrate your PostgreSQL database with Nielsen DCR?
With Rudderstack, integration between PostgreSQL source and Nielsen DCR is simple. Set up a PostgreSQL source source and start sending data.
Is it expensive to integrate PostgreSQL source with Nielsen DCR?
How long does it take to integrate PostgreSQL source with Nielsen DCR?
Timing can vary based on your tech stack and the complexity of your data needs for PostgreSQL source and Nielsen DCR.
RudderStack PostgreSQL Documentation
Refer to our step-by-step guide and start using PostgreSQL today
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.
PostgreSQL is an enterprise-grade, open-source object-relational database management system. It is popularly known for its reliability, feature robustness, and performance. Many companies use PostgreSQL as their low-cost data warehousing solution to deliver efficient analytics and user insights. You can use PostgreSQL in various instances, including web, mobile, geospatial, and analytics applications.