Do you know what data virtualization is? In times of digital transformation, especially after the COVID-19 pandemic, remote working has taken on enormous importance and has become essential for business. You may already be familiar with the concept, but how to go about it is another story, don't you think? That's why the ideal is to draw up a structured and organized plan for this implementation.
In this article, we'll talk about the concept, how it works, its advantages and the main steps in implementing data virtualization in remote work. In the end, you'll discover that if you don't join in, you could lose out. Check it out!
What is data virtualization?
Data virtualization is a technology that gives IT managers greater flexibility by creating virtual servers, software resources and remote access, all within a single machine. It is a resource that improves the speed of access times, reduces hardware costs and improves management.
Data virtualization also makes it possible to query multiple systems without the need to copy and replicate data, reducing technology costs. This data intelligence extends the potential of a physical machine by allowing resources to be distributed among several users or environments.
How does virtualization work in practice?
Let's imagine two servers with different functions: one dedicated to email and the other to the web (both with 40% use of machine resources). So we're talking about two pieces of equipment with isolated software and low capacity usage. Do you realize that there is an unused margin to carry out operations? In addition, there are double machine costs.
In data virtualization, we have the two servers running on just one machine and capable of processing tasks independently. In other words, it's a more efficient way of using hardware. Thus, the other equipment can take on a new function or even be discontinued. Here are the main advantages of this practice.
Reduces costs
Cost reduction is the clearest benefit of this strategy, since just one piece of equipment can take on a number of functions and offer consolidated access to data from a single source.
Improving mobility
Another beneficial factor is the ease with which software can be transferred as if it were being reinstalled on a new machine. What's more, it can be accessed from any device with the same functionality.
Brings more security to companies
The fewer resources to control, the easier the job of protection. With data virtualization, you can centralize access to hardware, gather data from different sources, add new data and transform it according to users' needs. In this case, there is no internal hosting of virtualized resources and recovery becomes much easier in the event of incidents or malicious use. Virtualization offers stronger layers of protection.
Why is now the ideal time for this implementation?
Circumstances point to the immediate planning of this technology due to the boom in virtual work resulting from the pandemic. There is no expectation of a "return to normal", but rather an adaptation of companies to digital intelligence due to people's new habits. Here are the main steps for implementation.
Plan
If you already had a structure ready for face-to-face work and feel the need to adapt to the remote model, it's already interesting to think about this implementation based on data virtualization, to promote ease of access, security and savings on investments.
Develop organized strategies
It's interesting to strategically organize the use of the machine and the distribution of servers, so as to take care not only of the moment, but in the medium term, since remote work tends to last for a while until the arrival of new technologies.
Prepare the team
Train the IT team and all employees to adapt to the new type of access. This way, after implementation, the adaptation process will be quicker and the team will be better prepared to resolve any doubts or inconsistencies that may arise.
Restructure processes
Re-evaluate the efficiency and flow of processes running on several servers and restructure so that this service can be run on one machine with maximum use of potential.
Split the data
Virtualization features make it possible to use multiple data sources as if they were just one. The data will be provided in the ideal format and at the most appropriate time for the user or application.
Adopt cloud computing
It's practically impossible to talk about technological advances today without mentioning cloud computing technology. Among the main advantages of this model, which enhances virtualization, we point out:
- more scalability;
- process optimization;
- better connectivity;
- more information security;
- effective backup;
- high availability.
Choose the right tools
It is important that both equipment and software support this implementation effectively. Composing this strategy with low-potential resources will not bring the desired effects and will cause virtualization not to work as expected.
Speed up the provision of information
With data virtualization, the provision of information will be much faster and more effective. Thinking about this streamlining is important for planning bolder goals and challenges and for boosting employee performance.
What damage can I do by not adopting virtualization?
In a competitive scenario that demands results, it's hard not to think about virtualization. The home office is, in itself, an imposition on this model that transfers more mobility, flexibility and efficient access to data and information.
With the recent advance of technologies such as IoT, systems tend to become increasingly fragile. Therefore, using simpler technologies with fewer entry channels is an important reasoning to increase the protection of corporate information.
Finally, the concept of remote working mobility imposes this characteristic not only on the user, but also on the manager. In this sense, server migration can become commonplace in this scenario and virtual transfer is much more practical and simple.
Data virtualization is certainly on the way to evolving your business. In this article, you'll learn about the concept, how it works and the best practices for implementing it.
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