{"id":31181,"date":"2022-07-31T06:57:10","date_gmt":"2022-07-31T06:57:10","guid":{"rendered":"https:\/\/sarasanalytics.com\/?p=31181"},"modified":"2023-06-20T10:01:57","modified_gmt":"2023-06-20T10:01:57","slug":"mysql-to-bigquery-made-easy","status":"publish","type":"post","link":"https:\/\/sarasanalytics.com\/blog\/mysql-to-bigquery-made-easy\/","title":{"rendered":"MySQL to BigQuery \u2013 Made Easy"},"content":{"rendered":"

In today\u2019s digital time, the volume of data to be analyzed is increasing day by day, new data sources are growing and the results have to be generated instantly for deeper analysis. But to do that means analyzing millions of interactions at speed and applying sophisticated algorithms to large datasets. Storing and manipulating your\u00a0MySQL data<\/a>\u00a0with cloud data services like Google BigQuery makes the whole process easier and more cost-effective, provided that you can get your data in, efficiently. With up-to-date analysis-ready data in BigQuery, lets your teams focus proactively on understanding customers and improving your product.<\/p>\n

In this article, we have highlighted the overview of MySQL and BigQuery and we will walk you through two approaches to integrating MySQL to BigQuery as well as the advantages and disadvantages of both processes.<\/p>\n

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Why integrate MySQL into BigQuery<\/h2>\n

It\u2019s hard to analyze your data when they are spread between various applications. A major reason to integrate your MySQL data into Google BigQuery is the ability to join multiple data sources for valuable analysis. MySQL BigQuery integration allows businesses to get up-to-date information about operations and react without a delay and provide solutions for smart monitoring of infrastructure performance. Consolidating MySQL data with data from disparate sources into one common destination enables quick data analysis for business insights and ensures consistent data quality, which is absolutely crucial for reliable business insights.<\/p>\n

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MySQL Overview<\/h2>\n

MySQL is a database management system that allows you to manage relational databases. It is open-source software backed by Oracle. It means you can use MySQL without paying a dime. MySQL is integral to many of the most popular software stacks for building and maintaining everything from customer-facing web applications to powerful, data-driven B2B services. It is quicker than other databases, so it can work well even with a large data set. MySQL now includes deep support for distributed applications and inclusion in most cloud data platforms<\/a>.<\/p>\n

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BigQuery Overview<\/h2>\n

Google BigQuery is a serverless data warehousing platform where you can query and process vast amounts of data. Google BigQuery is a powerful Big Data analytics platform that enables super-fast SQL queries against append-only tables using the processing power of Google\u2019s infrastructure. The best part about it is that one can run multiple queries in a matter of seconds even if the datasets are relatively large. BigQuery is a powerful tool for business intelligence and it offers analytics capabilities to organizations of all sizes.<\/p>\n

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How to replicate MySQL to BigQuery<\/h2>\n

Here are two approaches you can use to replicate\u00a0MySQL\u00a0data to BigQuery. This will allow you to evaluate the pros and cons of both and choose the one that best suits your requirement.<\/p>\n

Build your own data pipeline<\/h3>\n

This process needs a lot of experience and consumes a lot of time and manpower. The chances of errors are more due to multiple integrated steps one after the other. You need to extract data using MySQL APIs & then connect it properly with the BigQuery data warehouse. This whole process to build a custom data pipeline is cumbersome.<\/p>\n

Use Daton to integrate MySQL and BigQuery<\/h3>\n

Integrating MySQL and BigQuery with Daton is the fastest & easiest way to save your time and effort. Leveraging an\u00a0eCommerce data pipeline<\/a> like Daton significantly simplifies and accelerates the time it takes to build automated reporting.<\/p>\n

Configuring data replication on Daton only takes a few minutes and a few clicks. Your analysts do not have to write any code or manage any infrastructure, yet you can get access to MySQL data in a few hours.<\/p>\n

Daton\u2019s simple and easy-to-use interface allows analysts and developers to use UI elements to configure data replication<\/a> from MySQL data into BigQuery.<\/p>\n

Daton takes care of:<\/p>\n