Managing Big Data with MySQL Can be Challenging

Author: Robert Agar

MySQL is an extremely popular open-source database platform originally developed by Oracle. It currently is the second most popular database management system in the world, only trailing Oracle’s proprietary offering. If you aim to be a professional database administrator, knowledge of MySQL is almost a prerequisite. It is an important part of the multi-platform database environment found in the majority of IT departments.

A recent addition that has added to the complexity of managing a MySQL environment is the introduction of big data. Big data is characterized by the volume, velocity, and variety of information that is gathered and which needs to be processed. It can be used to provide an organization with the business intelligence (BI) it needs to gain a competitive advantage and better understanding of its customers.

The size of big data sets and its diversity of data formats can pose challenges to effectively using the information. These characteristics are what make big data useful in the first place. It is the convergence of large amounts of data from diverse sources that provide additional insight into business processes that are not apparent through traditional data processing.

Some examples of how big data can be beneficial to a business are:

MySQL Limitations When Handling Big Data

MySQL was not designed with big data in mind. This does not mean that it cannot be used to process big data sets, but some factors must be considered when using MySQL databases in this way. Here are some MySQL limitations to keep in mind.

These limitations require that additional emphasis be put on monitoring and optimizing the MySQL databases that are used to process and organization’s big data assets. It can be the difference in your ability to produce value from big data.

Optimizing the Performance of  Your MySQL Databases

Managing a MySQL environment that is used, at least in part, to process big data demands a focus on optimizing the performance of each instance. SQL Diagnostic Manager for MySQL offers a dedicated tool for MySQL monitoring that will help identify potential problems and allow you to take corrective action before your systems are negatively impacted. The tool helps teams cope with some of the limitations presented by MySQL when processing big data.

Some specific features of SQL Diagnostic Manager for MySQL that will assist with handling big data are:

Neither big data nor MySQL is going away anytime soon. Getting them to play nicely together may require third-party tools and innovative techniques. SQL Diagnostic Manager for MySQL is one such tool that can be used to maintain the performance of your MySQL environment so it can help produce business value from big data.