Twitter Ads to Google Cloud SQL MySQL

How To Replicate Twitter Ads Data to Google Cloud SQL MySQL

Copying Twitter Ads data to Google Cloud SQL MySQL cannot be simpler. You just need to perform the following three simple steps.

Step 1

Specify necessary connection parameters for Twitter Ads.

Step 2

Specify necessary connection parameters for Google Cloud SQL MySQL.

Step 3

Select Twitter Ads objects to replicate.

Powerful Replication Features

Automatic Schema Creation

You don’t need to prepare the Google Cloud SQL MySQL database — Skyvia creates the tables, corresponding to the Twitter Ads objects, in the data warehouse automatically.

Complete or Partial Replication

With Skyvia you can extract and load all the data from a Twitter Ads object or disable loading for some Twitter Ads object fields. You can also configure filters for data to replicate.

Change Data Capture

Skyvia not just copies Twitter Ads data to Google Cloud SQL MySQL once, it can keep your Google Cloud SQL MySQL database up-to-date with Twitter Ads automatically, ensuring you always have fresh data for data analysis without any user intervention.

Optimized Data Loading

Skyvia combines a high-performance optimized batch data loading into Google Cloud SQL MySQL with a granular, per-record data insertion and error logging in case of any errors.

True ETL — Data Import Tool

If you need more than just to copy data from Twitter Ads to Google Cloud SQL MySQL, you may use Skyvia’s powerful data import functionality. Skyvia’s data import tools will correctly extract Twitter Ads data, transform it, and load to Google Cloud SQL MySQL when Google Cloud SQL MySQL tables have different structure than Twitter Ads objects.

Automation and Monitoring

Flexible Scheduling

Use flexible scheduling settings to automate replication

Detailed Logging

You can find detailed logs for each execution in the package Run History.

Email Notifications

Enable email notifications and always know if anything goes wrong.

Integrate Twitter Ads and Google Cloud SQL MySQL with minimal effort and in only a few clicks!