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How to Migrate Data Between Two MySQL Databases

How to Migrate Data Between Two MySQL Databases

The success of any business depends on its ability to keep up with changing customer requirements. One way to stay relevant is by ensuring that you have an updated version of your databases. A data warehouse or a No SQL database is a repository for storing all kinds of structured and semi-structured information. Once a company has migrated their data, they can retrieve it in near real time when needed. It’s important to note however that this process requires careful planning, especially if data transfer involves moving from one relational database to another. In this article, we will discuss how to migrate data between two database platforms – MySQL vs PostgreSQL and explain how these processes are essential in maintaining your business records.


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Why Need Data Migration?


By keeping a record of your past transactions, data warehouses help organizations determine what needs improvement and keep track of which tables need attention. For example, if you want to improve sales forecasting and analysis, data quality is crucial. If your customers require constant updates, then your organization needs a suitable solution to store their data. Your data warehouse should be able to keep your organization’s primary source code and provide access to other major systems. As mentioned earlier, many companies use multiple applications and systems, and having an in-house database with the right schema and data model is no longer enough.


The Benefits Of Database Migration For Businesses


As mentioned earlier, migrating data plays a vital role in retaining data quality. When there is a change in the organization’s needs, they often move the old data into the newer database. Such a step helps reduce the number of errors and maintain the integrity of your database systems. Additionally, modernizing databases can help your business create more automated processes that increase efficiency. With this in mind, let us look at three benefits of database migration for businesses.


Improved Performance: By transferring data, companies can take advantage of improved performance. Moving data from local to remote servers can allow them to utilize new technologies such as cloud computing and data storage solutions. These enhancements in processing power can lead to faster processing times and improved response times. Increased Security: When data is moved across databases, sensitive information is protected. Even though your organization might move your data to a public server, not everyone will be aware of the exact location of your database. That said, having a backup plan in place can help ensure that no data gets lost or stolen. Reduced Costs: Companies using Oracle have reported cost savings in the area of 60% or more compared to those who do not. These savings come from lower operational costs, reduced downtime, and increased productivity. Scalability: Another benefit of data migration is the ability to scale your operations. Running multiple versions of your database means that any changes to your system can be processed quickly. Having multiple copies of data also makes it easier to support different types of applications and features.


How Do You Prepare For Database Migration?


As mentioned previously, preparing for database migration requires careful consideration and planning. Here are several steps to follow to prepare for migration. First, define the criticality of the changes you will make: What does the actual migration entail? Is a complete data transfer necessary? Will the database in question be down?


Once this is determined, you can start designing strategies for making the most of the upcoming changes. Implementing migrations can vary depending on the specific database you are working with, but there are some common best practices that may apply to both. Make sure the following six steps are followed:


1. Identify the target and destination DBs.

Before anything else, it's crucial to identify the desired set of databases you will migrate to. You cannot go back and forth without first identifying the destinations that will be affected.


2. Determine the required changes:

Determine the data you need to move and the corresponding resources (e.g., files, tables) you will consume during the entire migration. Also consider whether additional resources such as indexes, indexes, aggregates, etc., will be needed. Remember to test and refine your plans before taking any action.


3. Choose the migration method:

There are several methods to choose from. Some popular options include table migration with the help of tools like DBA, ETL apps, and OLAP, and file migration, which entails uploading your existing data to a host database and moving it to an external destination. Alternatively, you can use a tool like MariaDB Instance Replication (MIR), which allows you to add replicas of your database, so that changes can persist in case of failure. Note that there is no single “best” technique, but rather, focus on finding the most effective ways to migrate.


4. Develop the migration strategy:

Next, develop a migration strategy, based on the data you already have and the expected target DB. Ideally, you should include the following elements: Prerequisites: Define the reasons why data must be moved and the relevant data needed.


Define the reasons why data must be moved and the relevant data needed. Requirements: State the requirements for the migration. In other words, what data and resources will be migrated, and which ones will remain on the original database?


State the requirements for the migration. In other words, what data and resources will be migrated, and which ones will remain on the original database? Prioritizes: List the logical order of data migration, and the related data that must be migrated.


5. Set timelines:

Create a timeline for each stage of the migration to guide the team. Ensure that the teams complete tasks on schedule and plan ahead. You can also communicate with your project management team about the progress and challenges faced along the way.


6. Monitor and control:

Keep regular checks on the overall state of the migration and maintain accurate reports. Check whether the migration was completed successfully or not, and if necessary, retry the initial migration.


Benefits & Drawbacks Of Using PostgreSQL Over MySQL


If your company uses SQL databases, PostgreSQL's advantages might outweigh those of MySQL. Let’s explore the major distinctions to know about.


Databases Are Versatile - Both MySQL and PostgreSQL are highly versatile for managing large amounts of data. They’re similar in terms of functionality and ease of maintenance, with PostgreSQL being slightly simpler than mysql. Their compatibility is also better because PostgreSQL is designed to handle various forms of authentication while providing support for encryption and user authorization. However, MySQL databases can only store up to 1TB in size, leaving room for growth.


Both MySQL and PostgreSQL are highly versatile for managing large amounts of data. They're similar in terms of functionality and ease of maintenance, with PostgreSQL being slightly simpler than mysql. Their compatibility is also better because PostgreSQL is designed to handle various forms of authentication while providing support for encryption and user authorization. However, MySQL databases can only store up to 1TB in size, leaving room for growth. Speed - Compared to PostgreSQL, MySQL databases offer faster query execution speeds. While MySQL doesn’t have an RDBMS-specific built-in function called MyISAM, you can combine all queries into one query using a normal query language (SQL) like CTEQ, and execute them at lightning speed. Although MySQL is slower than PostgreSQL when querying and analyzing data, it typically offers higher throughput and less latency.


Comparison PostgreSQL (Source) MySQL (Source) Difference Free Ease of administration - MySQL, PostgreSQL, and MariaDB all have free administration packages, meaning users don't have to worry about running services on them and managing configuration files. On the contrary, PostgreSQL and MariaDB both offer paid options, where you'll have to pay for monthly usage. Availability - All platforms offer 24/7 availability, but MySQL is generally available around 9 am-7 pm GMT Monday through Friday. PostgreSQL is available almost 24 hours per day, and MariaDB is available 5 days a week. Pricing - Both systems are relatively inexpensive, although MySQL typically costs $5 a month while PostgreSQL starts at $7 per month. Storage space limitations aren't an issue for either platform, but it's worth noting that MySQL databases tend to have larger footprints due to their default architecture. Popular Features - MySQL and PostgreSQL both offer robust and powerful data manipulation capabilities. However, there are differences in the core components of the system. Unlike MariaDB, MySQL provides a vast collection of extensions and plugins that are used to extend the platform to greater levels of customization. PostgreSQL comes with a smaller selection, but most of the popular modules include things like Python, HiveQL, Presto, and pgAdmin.


What Is Required For Effective Management And Monitoring During Database Migration?


Database migration involves managing changes in your databases. Here are one important aspects of database migration.


1. Selective Commitment :

Before implementing significant changes, it's important that the data in your database is not ready to commit at the current point in time without further testing before committing to production environments. To avoid any problems, selective rollback is preferred. This entails executing the change incrementally until the full data has been modified, and adding new rows to the database that haven't yet been added.

Before implementing significant changes, it's important that the data in your database is not ready to commit at the current point in time without further testing before committing to production environments. To avoid any problems, selective rollback is preferred. This entails executing the change incrementally until the full data has been modified, and adding new rows to the database that hasn't yet been added. Roll Back Time: After completing your migration, it's imperative to monitor the underlying changes and understand what is happening. PostgreSQL provides advanced tools such as watchlists and time logs, allowing you to see every snapshot


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