MySQL Archive – Meet Data Retention Needs
March 25th 2015 Posted at Databases
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MySQL Data Archiving is a proven strategy that manages growth in application and custom databases running on MySQL by reallocating data out of production systems into secondary, lower cost storage systems while maintaining seamless data access through the native application or BI layer.
MySQL is one of the world’s most popular databases because of its open source platform, fast performance, reliability, low cost and ease of use. It has been deployed worldwide to power everything from high volume web sites to enterprise business applications. Having successfully transitioned from small database applications into large deployments and as the underlying technology for mission critical applications, the need for comprehensive data archiving is fast emerging.
By incorporating data archiving for MySQL, companies can deploy consistent policies for managing and storing data for data retention and cost effectiveness. The net effect is improved application and reporting performance and lower overall cost, shorter backup and recovery times and lower maintenance costs.
Exponential Data Volumes
With data volumes skyrocketing and data floating around in their transactional systems, corporations have realized the importance of data warehousing more than ever before. Secondly, government regulations such as Sarbanes-Oxley, HIPAA and others have created an atmosphere of confusion over exactly what types of data must be retained to be in compliance with the powers that be. Hence, rather than risking violation of federal mandates, enterprises are keeping everything that relates to their operations. This never ending data inflow creates a heavy burden for DBAs and others.
Data auditing and security control are other aspects that must be considered by organizations. Businesses with thousands of users and an equal number of transactions create massive audit data that has to be tracked.
Meet Data Explosion Challenges with MySQL Database Archiving
To help meet the challenges of data explosion, MySQL introduced a storage engine called Archive. This data management solution helps MySQL manage large volumes of data. With MySQL, one need not make backups of historical data on tape to save on storage costs. In addition, the availability of such historical data is increased because there is no need for lengthy, selective restoration of data.
Data is compressed and easy to use, and once data is archived the information cannot be changed as archive tables support only select and insert operations. This is ideal for auditing purposes because, once created, audit data should not be manipulated in any way.
Archiving techniques
Organizations can reduce the impact of data growth by running batch reports during off times, migrating to faster hardware or purging old data. None of these techniques fully address the reality of database growth and the need for long term data retention. To maintain performance of MySQL based applications while ensuring retention requirements, organizations need to deploy data archiving strategies to actively manage and optimize performance, understand the impact of growing application databases on productivity and resource costs, and develop classification strategies for primary and secondary data sets.
Additionally, there is a further burden on IT resources required to maintain large production databases to support the test and development process. On average, 80% of data in any given production system is underutilized. By reducing the production system by even 50%, the resulting test and development storage savings would be 4TB. For organizations running multiple MySQL databases, the resulting savings in Tier 1 production storage and test and development storage, servers and resources is significant.
So whether it is a data warehousing or data archiving, the new MySQL Archive solution is an excellent option for those wishing to secure and store data. Along with this there is the added benefit of having a great ROI on the amount of storage space saved.
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