Data Singularization

Volkan Ünlüer
September 05, 2013

Can you give brief information about singularization? Why this technology has become so popular in recent years?

Briefly, singularization is a data compression method in which data segments contained or repeated in a data cluster is removed. Especially, considering that growing need for storage areas in database and documentation management systems and increasing data traffic on corporate networks, large disc areas and network sources are spent unnecessarily for repeating data-data segments within such data clusters; because of that fact, costs are increasing and system and infrastructure efficiency is decreasing significantly.

In which conditions and for what kind of institutions, can singularization be applied? Are there any prerequisite conditions which must be complied with in application, infrastructure or hardware sections before it is implemented? How much determinant is corporate size or scale for choice of the method?

Generally, first of all data structures and IT applications should be assessed comprehensively in the institutions where data area need is constantly growing in order to determine if there is an advantage of singularization with respect to cost and efficiency. Singularization provides significant performance and efficiency benefit particularly in the documentation management systems containing enormous amount of repeating documents and their versions; structures in which many Virtual Server Systems are used in IT infrastructure, institutions where Virtual Desktop infrastructure is used actively and widely, database users whose sizes are continuously increasing (for ex. Mail Server databases) and structures having high network activities such as continuous back-up and/or data transfer applications between both local and remote distances. The important thing is that based on the findings of the analysis, proper method providing maximum benefit for the institutions should be selected among application or hardware based singularization methods. Most efficient implementation plan should be established. During decision-making period, singularization inherently provides more positive return in the systems having larger data volume, virtual and distributed layout structure. Besides that, if correct analysis and implementation plan is conducted, it can provide many significant advantages for every scale institutions.

What are the issues to be taken into consideration while choosing and implementing singularization solutions? What kind of advantages can be achieved by ideal applications, what kind of risks are carried by wrong applications?

As I mentioned before, results of data and infrastructure analysis must be the sole determinant factor. For instance, singularization will not have any positive impact on system efficiency in the institutions where multi-environment applications are mostly used. In order to maximize network efficiency in the institutions using Virtual Desktop or data transfer applications between remote distances, singularization method should be applied at source not at target.  In order to minimize storage area demand without compromising performance in the institutions using Virtual Server, singularization can be implemented at the target. First of all, analysis results should be interpreted correctly; this stage is the primary stage in order to determine most efficient and successful method which can reduce costs in the future.  Therefore, unnecessary investments can be avoided in early stage, besides that most beneficiary method can be selected for both short-term and long-term advantages of the subject institutions. Most effective plan can be established.

How do you foresee the future of singularization? What is your vision on that aspect?

Although data storage, network and communication technologies have been developing day by day and borders are pushed away, each institution should implement singularization in business processes to some extend considering surplus IT infrastructure accessories impact on environment, nature and future, in order to enhance business continuity and efficiency, to reduce infrastructure costs. It seems to be a necessity in the near future.