Automate MySQL to BigQuery integration

Get your data from MySQL to Google BigQuery automatically based on a set schedule without the need to code or use complicated software.

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Why import MySQL to BigQuery

Enjoy the great speed and power of BigQuery

Import MySQL to BigQuery in seconds so you can query huge data sets just as fast. Make use of a MySQL to BigQuery integration that will refresh your imported data automatically according to a schedule you choose and have your query results display the latest data. Query data and experiment on complex data views without affecting the performance of your main MySQL database.

Pull data from different apps and use it for dashboards

Sync MySQL to BigQuery, gather data from a range of apps, and store everything in BigQuery projects. Use the data to create dashboards that can become self-updating with the help of automatic data refreshing. Combine the data provided to you by the MySQL to BigQuery export with the data from apps such as QuickBooks, Shopify, and more to gain valuable insights about your business. Create not just dashboards but also custom reports that include data taken from MySQL to BigQuery and from other apps.

Get useful insights from complex data

Complete a MySQL to BigQuery replication yourself or have a data integration tool do it for you on a schedule and use tools such as Google Data Studio to visualize the data, create reports, or simply explore it using various tools. Extract data from different MySQL databases or data sources into BigQuery, dig deep into it using a BI tool and use your findings to improve your business.

What can you replicate from MySQL to BigQuery

01. A table

Import your tables from MySQL to Google BigQuery in just a few clicks and have the process be repeated automatically as often as you need it, be it every day, every hour, or every 15 minutes. Take the automatically refreshed data in BigQuery and store it in the form of encrypted backups in Google’s warehouse, run complex queries on it, or complete any other task enabled by BigQuery.

02. A view

Run your MySQL to BigQuery integration to import a view created by a SQL statement into BigQuery. Make sure the view data in BigQuery is always up-to-date by having the integration run on a custom schedule created by you, thus serving as the perfect method to automatically sync MySQL to BigQuery. Completely forget about complicated software and coding when wanting to establish a connection between MySQL as a data source and BigQuery as a data destination.

How to sync MySQL to BigQuery

Step 1. Select MySQL as a data source and BigQuery as a data destination
10 seconds
Step 2. Establish a connection to your MySQL server
1 minute
Step 3. Enter the database and table/view you want to export from
30 seconds
Step 4. Connect your BigQuery account
1 minute
Step 5. Choose a data destination in BigQuery
30 seconds
Step 6. Enable the automatic data refreshing feature and set a schedule for it
15 seconds

Why use Coupler.io’s MySQL to BigQuery integration

The MySQL to BigQuery integration is the most optimal way of importing data from the open-source relational database management system to the data warehouse as it doesn’t require any coding or installation of different kinds of software. The integration also performs much faster than any manual method used to pull data from one app into the other.

With Coupler.io, you get to enjoy peace of mind knowing the data you import will be automatically refreshed without you even moving a finger if you so wish, thanks to the automation provided by this data integration tool. So, if you need the most recent data for analysis, reports, dashboards, querying, or something else you use BigQuery for, you can rely on Coupler.io to fetch it for you on schedule.

Once you combine Coupler.io with BigQuery, you can rest assured that you’ve created the most optimal route to import MySQL to BigQuery and then further to BI tools such as Google Data Studio, the use of which is crucial for making the right business decisions.

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