How to combine data from Twitter Ads with Apache Kafka

Pipes allows you to quickly Integrate Twitter Ads with Apache Kafka data for a combined analysis.

Load data from Twitter Ads and Apache Kafka into your central data warehouse to analyze it with the business intelligence tool of your choice.

Pipes allows you to connect to Twitter Ads, Apache Kafka, and more than 200 other APIs, web services, and databases with ready-to-use data connectors. Automate your data workflows through data pipelines without a single line of code.

Connect your data warehouse

It will be the destination of all data pipelines you build. Pipes supports relational databases in the cloud and on-premises.

Connect to Twitter Ads and Apache Kafka

You just need to enter the associated credentials to allow Pipes access to the Twitter Ads API and the Apache Kafka API.

Combine data from Twitter Ads and Apache Kafka

Pipes lets you select the data from Twitter Ads and Apache Kafka that you want to load to your data warehouse. These data pipelines will run automatically on your defined schedule!

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About Twitter Ads

Twitter Ads is Twitter’s advertising platform for brands to promote its products and reach new users. Twitter offers many simple Twitter ad formats and there is no minimum advertising budget required.

About Apache Kafka

Apache Kafka is a framework implementation of a software bus using stream-processing. It is an open-source software platform developed by the Apache Software Foundation written in Scala and Java. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.

Your benefits with Pipes

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.

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