Managing a massive storage network can be a daunting task. And if you have not implemented the best storage practices and techniques, you will be in a hard position trying to deal with the glitches that might occur every now and then. Below, we list out seven data storage tips that you will definitely find useful.

  1. Upgrade Hardware

If the hardware being used for storage is very old, then it probably is time to replace it with a new one. It is recommended that you don’t stretch out the life of a storage device that is past its prime. You must replace all such old and failing storage devices with modern and upgraded ones. And remember to buy storage solutions that come with central management features. This will allow you to integrate the new storage devices to the existing network with ease and enable you to manage it better.

  1. Database Tuning

Some people try to resolve storage performance issues by stacking up even more expensive storage devices.  However, this usually is not an effective solution. At best, there will only be a marginal improvement in the performance of your storage device. And this is where database tuning comes into the picture. Ideally, a system profiling that is followed by database tuning should be good enough to give a big boost in terms of performance. And if the I/O response is extremely slow, the problem can be identified by checking the I/O queues together with the idle cores.

  1. Load Balancing


In case you don’t have the option of controlling load balancing hardware, the best thing you can do is to use custom software solutions that are designed for this specific purpose. You have open-source and commercial software to choose from, which include Hipache, Nginx, and so on. Only through proper load balancing can you increase a cluster’s performance. And this allows you to benefit more from the extra nodes that you add to the storage clusters.

  1. Backup Cloud Data

If a large portion of the data is being stored on the cloud, it is necessary that you take regular backups of the same. Only this can guarantee data resiliency. The cloud provider may be offering data backups, but it is likely that the time limit of the backup is too limited to be of any long-term use to you. For example, if your business is using the Microsoft Office 365 package, you should know that the service only offers about 30 days of backup. And this too can change from time to time depending on the company’s policies. So, if you want the backup of the data to be available for more than 30 days, you need to store it somewhere else rather than rely on the service provider alone.

  1. Garbage Collection

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NAND SSD storage devices require periodic optimization and garbage collection. There are certain storage systems that will automatically do the cleaning as and when required while other devices require manual cleaning. Usually, UNMAP and TRIM commands are given to the SSD in order to trigger a low level cleanup. So, if you have an SSD on Windows, all you have to do is to click the Optimize option from the Volumes property. The device will do the UNMAP or TRIM to optimize itself.

  1. Micro-Tiering

In simple words, micro-tiering is the automatic transfer and manipulation of physical and virtual data that is primarily stored in SSD and flash drives. There will be a data migration engine that will track every single virtual page in the volume, deciding when to and when not to move these pages.  The least used pages will be dumped in the process and will instead be replaced by most requested content.

  1. Disaster Recovery As A Service

You should also think of getting a Disaster Recovery as a Service (DRaaS) for your entire storage network. These services act as a failover that will allow you to be up and running with your business applications whenever you want in case your primary storage is hit with any disaster that blocks you from using it. It is to be noted here that DRaaS is not a cheap service and will cost you some serious money. But ask yourself a simple question – are you willing to risk the reputation and profits of your business by being unable to provide any service to your customer for several hours or days when struck with a disaster? If your answer is no, then you definitely need a DRaaS service.


In the history of database technology, the first revolution came about when the electronic computer emerged; the second was a result of the creation of the relational database. This article briefly explores the idea of a possible third revolution.

Considerable developments have occurred in recent years with respect to database technology. Non-relational database systems such as Cassandra, MongoDB, Spark, and Hadoop are all part of an evolving part of the small business data infrastructure of close to all Fortune 500 companies.

Certainly, it is perfectly within reason to argue that implementing these emerging technologies is ill-advised, that the transactional SQL relational database and the relational model offers a superior solution, and that the market will eventually realize this and go back to the long-standing relational model. However, a number of experts believe this to be unlikely.

Downsides to Non-Relational Databases

All the same, those against non-relational systems would not be wrong to assert that the current databases are all prone to the following downsides:

  • InconsistencyA majority of non-relational databases are unable to perform transactions with multiple objects. A number of unfavorable outcomes may result from potential unpredictability and inconsistency even in transactions with a single object. Nondeterministic behaviors, lost updates, and phantom reads may occur.
  • Regression to the navigational modelThe new stock of databases has brought back issues that relational systems had eliminated, i.e., physical and logical representations of data being coupled in an undesirably tight format.
  • Numerous compromises There are many specialized database solutions in the market, some of which sufficiently fit the requirements of an organization’s application. However, it is often the case that the application is forced to choose from a set of database architectures that are not quite right.
  • Lack of suitability for business intelligence Database systems such as MongoDB, Cassandra, and HBase among others offer more functions to a database programmer than to you, the small business owner. They may therefore be isolated from the wider business because of the lack of a suitable layer of SQL.

Convergence of Databases

According to remote DBA experts such as, it is not outside the realm of possibility to find a database offering that “has it all”. For instance, there is no architectural basis for a database system being unable to provide a tunable consistency model that offers a consistency model on one end and reliable multi-record transactions on another end.

In the same way, it is possible to bring together the features of a document store and a relational model initially by using the current trend toward including JSON data types in your company’s relational tables.


Ideally, the architecture of your company’s database should support multiple storage formats, processing paradigms, languages, and data models within one system. Your team of remote DBA experts should resolve application requirements that affect particular database features.

These resolutions should be pluggable options or configuration features within your system, rather than choices between fundamentally different architectures for databases. Your database should also support a relational yet extensible schema as well as a tunable consistency model.