Do you need to export Twitter Ads data into your data warehouse, data lake, or some other data repository?
Sage data Twitter Ads integration can help you connect your data with a few clicks. Your Twitter Ads data can export as often as every 30 minutes so you have the latest data available with no headache of managing code or upgrading your Twitter Ads data integration.
See SageData in action
2 Min to add SageData Integration
Connect your Twitter Ads account with SageData Twitter Ads integration to a data lake of your choice in just a few minutes. This video shows you how easy it is to set up the integration and schedule it to run as often as you want.
Analyze your Twitter Ads data.
Ingest the Twitter Ads data into your data warehouse in minutes with few easy steps and start analysing, aggregating and combining your data.
Learn more about integration and managing your Twitter Ads data
There are many tools out there that help you integrate your Twitter Ads data. What sets SageData apart is our complete BI platform that gives you all the tools not only to ETL / ELT the Twitter Ads data into your Data Warehouse, but to aggregate, combine and visualise it with the complete flexibility of an enterprise BI platfrom.SageData Documentation
SageData enabled us to rapidly scale our Data Analytics.
Head of BI at Finiata
Add your Twitter Ads data to your Data Warehouse
Choose where you want your Twitter Ads Data
SageData Data Store
On premise Data Warehouse
Any custom data repository
What sets SageData apart
SageData is a simple to use yet powerful Business Intelligence platform designed with the modern startups in mind who need a full BI Platforms without spending a fortune. SageData is built with the most valued best practices in mind to help you store and manage your data with ease. Our team of experienced Data Analysts can also assist you in managing your data so you can have the peace of mind that your data is reliable to make the best decision for your business.
SageData gives you the tools to:
- Combine your data from external and internal sources
- Clean up, model and aggregate your data
- Visualize your data
- Monitor your data for accuracy
- Check data for Anomalies
- Forecast your data