How to connect DoubleClick Campaign Manager to R

Discover how to get data from DoubleClick Campaign Manager (and from other sources) into R by locating it into your data warehouse that is connected to R.
Load your DoubleClick Campaign Manager data into your central data warehouse to analyze it with R.
To analyze DoubleClick Campaign Manager data with R, Pipes provides you with fast and easy access to all your data by automatically loading it in your data warehouse. Always up-top-date, no performance issues, without writing a single line of code.
1

Connect your data warehouse

It will be the central database for your DoubleClick Campaign Manager data. Pipes supports the most popular relational data warehouses in the cloud and on-premises.
2

Connect to DoubleClick Campaign Manager

You just need to enter the associated credentials to allow Pipes access to the DoubleClick Campaign Manager API.
3

Create a data pipeline

Create a pipeline from DoubleClick Campaign Manager to your central data warehouse. The pipeline will run automatically on your defined schedule, so you will always have fresh data available.
4

Access your DoubleClick Campaign Manager data with R

Connect R to your data warehouse. You will see your DoubleClick Campaign Manager data there in form of standardized tables. Now you can analyze your data without performance issues!

About DoubleClick Campaign Manager

DoubleClick is a provider of digital marketing technology and services. It offers technologies and services that are primarily sold to advertising agencies and mass media companies. These are to be made possible thereby to act more purposefully and switch interactive advertising campaigns. Companies use DoubleClick for ad serving, media, video, search and affiliate marketing purposes.

About R

R is a software environment and programming language supported by the R Foundation for statistical computing and for statistical graphics and computing. Data miners and statisticians use the language R for developing statistical software. Source code for the R software environment is primarily written in Fortran, C, and R.

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Get central access to all your data

Access data from 200+ data sources with our ready-to-use connectors and replicate it to your central data warehouse.

Automate your data workflows

Stop manually extracting data and automate your data integration without any coding. We maintain all pipelines for you and cover all API changes!

Enable data-driven decision-making

Empower everyone in your company with consistent and standardized data, automate data delivery and measure KPIs across different systems.