GCP MySQL to Google BigQuery – Made Easy

Step by step guide to move PostgreSQL to BigQuery into a data warehouse of your choice! ETL/ ELT your eCommerce data easily with Daton

GCP-MySQL-to-Google-BigQuery-Made-Easy | Saras Analytics
GCP-MySQL-to-Google-BigQuery-Made-Easy | Saras Analytics

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Replicate GCP MySQL to Google BigQuery in minutes

Do you want a quick and simple way to transfer data from GCP MySQL to Google BigQuery? If yes, then you can migrate your data with an efficient ETL tool: Daton.

Businesses these days need to understand their data to stay ahead of increasing competition and make data-driven decisions. The tons of data generated from various apps need fast and secured storage. Unfortunately, building and maintaining a scalable and secure physical storage solution is quite high. So, the companies are using cloud databases like MySQL. But managing, replicating and extracting data from these databases is complicated. Hence cloud platforms like Google Cloud Platform have made a solution for managing MySQL databases. GCP MySQL offers seamless control on your MySQL database.

Data-savvy enterprises try to reduce the time & effort of reporting and analyzing multiple data silos from several databases and cloud storage. They use ETL tools like Daton to replicate data from these Cloud platforms to data warehouses like Google BigQuery, where you get a consolidated view for faster and accurate reporting.

 

Why integrate GCP MySQL to Google BigQuery?

Nowadays, enterprises use cloud storage solutions like Google Cloud Platform to manage their databases. These storage solutions help collaboration and consolidation, especially when multiple teams work in offices across different countries. The databases will also be automatically replicated, backed up by secure servers, reducing data theft and loss. To simplify data analysis and reporting, merge data from GCP MySQL with other databases like Amazon Aurora, sales sheets, and COGS. However, manual data consolidation takes much time to execute manually, and the reports are often inaccurate. Thus, data-savvy companies resort to ETL tools like Daton to replicate GCP MySQL to Google BigQuery. It is a highly automated ETL Tool that easily migrates data from different data sources to cloud data warehouses without coding.

 

GCP MYSQL Overview

GCP SQL is a fully managed Google Cloud database service that helps users perform administrative tasks such as replication, database and patch management. It provides the flexibility to set up and maintain database infrastructure; so, you can conveniently shift existing databases to Cloud SQL. The replication feature can use read replicas, scale-up, or migrate the MySQL database. With the Backup feature, users can recover lost data to a Cloud SQL database or backup via Google Cloud SQL. It is “fully managed” as you can customize it to the PaaS cloud service model and cloud-native applications. Users also can directly manage the SQL database for larger deployments with enterprise-grade requirements by running a Google Compute Engine instance and deploying a MySQL image on it. This self-managed IaaS model gives you complete control of your MySQL database on GCP, allowing edits in database configurations.

 

Google Bigquery Overview

Google BigQuery is the first serverless data warehouse service which was available in the market. A database administrator architects the schema and optimize the partitions for performance and cost in a Google BigQuery environment. This cloud service automatically scales to fulfil any demands of a query. Google BigQuery service offers an excellent pricing model based on the amount of data processed by incoming queries, not on the storage or the compute capacity for processing queries. The best part about using Google BigQuery is that you can instantly load data to the service as soon as you start using it. The primary requirements are a mechanism to load data into the data warehouse and the ability to write SQL queries.

 

How to replicate GCP MySQL to Google BigQuery?

There are two ways in which you can replicate GCP MySQL to Google BigQuery.

Build Your data pipeline – Building an in-house data pipeline needs a lot of experience, time and manpower with higher chances of errors. You need to extract data using GCP MySQL APIs & then connect it properly with the Google BigQuery data warehouse.

Use Daton to integrate GCP MySQL & Google BigQuery – Using Daton to integrate GCP MySQL & Google BigQuery is the fastest & easiest way to save your time and efforts. Leveraging an eCommerce data pipeline like Daton simplifies and accelerates the time to build automated reporting to a great extent.

Configuring data replication on Daton on only takes a few minutes and a few clicks. Analysts do not have to write any code or manage any infrastructure, yet they can get access to their Amazon ads data in a few hours. Daton’s simple and easy to use interface allows analysts and developers to use UI elements to configure data replication from GCP MySQL data into Google BigQuery.

Daton takes care of:

  • Authentication
  • Rate limits,
  • Table creation, deletion & reloads
  • Refreshing access tokens,
  • Sampling,
  • Historical data load,
  • Incremental data load,
  • Notifications

and many more important functions for data analysts to focus on analysis rather than worry about the data replication process.

 

Steps to Integrate GCP MySQL with Daton

Daton - The Data Replication Superhero
  • Sign in to Daton
  • Select GCP MySQL from the Integrations page
  • Provide Integration Name, Replication Frequency, and History. The integration name would be used in creating tables for the integration and cannot be changed later
  • You will be redirected to the GCP MySQL login for authorizing Daton to extract data periodically
  • Post successful authentication, you will get prompts to choose from the list of available GCP MySQL Ad accounts
  • Select required tables from the available list of tables
  • Then select all required fields for each table
  • Submit the integration

For more information, visit GCP MySQL Connector.

Sign up for a trial of Daton Today!

 

Here are more reasons to explore Daton for GCP MySQL to XIntegration

  • Faster Integration of GCP MySQL to Google BigQuery– GCP MYSQL to Google BigQuery is one of the integrations Daton can handle very fast and seamlessly. By following few steps, you can easily connect GCP MYSQL to Google BigQuery.
  • Robust Scheduling Options: allows you to schedule jobs based on their requirements using a simple configuration step.
  • Low Effort & Zero Maintenance – Daton automatically takes care of all the data replication processes and infrastructure once you sign up for a Daton account and configure the data sources. There is no infrastructure to manage or no code to write.
  • Data consistency guarantee and an incredibly friendly customer support team ensure you can leave the data engineering to Daton and focus instead on analysis and insights!
  • Enterprise-grade data pipeline at an unbeatable price to help every business become data driven. Get started with a single integration today for just $10 and scale up as your demands increase.
  • Support for all major cloud data warehouses including Google BigQuery, Snowflake, Amazon Redshift, Oracle Autonomous Data Warehouse, PostgreSQL, and more.
  • Flexible loading options allow to you optimize data loading behavior to maximize storage utilization and ease of querying.
  • Enterprise-grade encryption gives your peace of mind
  • Support for 100+ data sources – In addition to GCP MYSQL, Daton can extract data from a varied range of sources such as Sales and Marketing applications, Databases, Analytics platforms, Payment platforms and much more. Daton will ensure that you have a way to bring any data to Google BigQuery and generate relevant insights.

For all sources, check our data connectors page.

Other Articles by Saras Analytics,

  1. How to Analyze Product Performance Using Google Analytics?
  2. Shopify Reports
  3. 10 Ways To Support Data Analytics Team
  4. Python ETL Tools
  5. Essential Analytics Foundation
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