The world is fast becoming a digital bubble. This is even more apparent as COVID-19 expands our reliance on relevant data to make better decisions in real time. Now more than ever, efficiency and overall business value have become increasingly desirable metrics in data management. This is where data virtualization comes in. It helps to retrieve and manipulate the data without the need for intricate details about the data itself. In this way, business owners take advantage of data sets more efficiently and conveniently.
Many companies are investing in data virtualization, and the market value of the sector is expected to reach $ 8.5 billion by 2026. For companies looking for data quality tools and robust data management results, virtualization can be a good choice. Here are some beneficios de la virtualización de datos.
Efficiency and comfort
Many companies use data to adapt business results to the ever-changing needs of their customers. However, managing data efficiently and conveniently can be a daunting task, especially for smaller companies that don’t have the budget or expertise. Data virtualization (DV) can be a bridge between data efficiency and convenience for end users.
A data virtualization solution integrates data from disparate data sources such as social media, web services, NoSQL, XML, etc. It offers a unified view to business users in real time, acting as a bridge between multiple applications and operating systems. For companies seeking efficiency, the maximum value of DV is realized when a data layer is created.
The virtual layer is unified, and users can access data services regardless of where they are or what format the data is stored in. This makes your data warehouse a one-stop-shop for all your data needs. This also means that the business can easily track its data movement issues. Additionally, data consumers can access reports, web services, and more, all from a single dashboard.
Reduced IT expenses
The integration of data virtualization technology will offer a more cost-effective approach to managing data sets. For example, having multiple servers running your database means high maintenance and repair costs. Virtualization means fewer servers, less time maintaining your data infrastructure, and less downtime. Ultimately, that’s the point of virtualization – effectively leveraging data for business scalability.
It’s also worth noting that virtualizing your production environment means transforming your single physical server into multiple virtual machines (VMs). These VMs, unlike physical servers, are cloud-based and can require relatively less effort and time from your IT team.
Agility for change
Today’s data management problems are manifold. For most companies, regardless of size, being agile in the age of big data has become a worthy choice. That means they can tackle new challenges as they arise. Considering the adverse effects of COVID-19, for example, many companies have suffered greatly. Data virtualization plays a vital role in business agility, especially for companies looking to scale. Virtualized environments provide the space needed to experiment with análisis avanzados that lead to the precise information a business needs to tackle problems head-on.
Data integrity and security
How does a company guarantee security in the management of a data center? How does having a virtual data warehouse help security and integrity? With the increase in cases, data breaches have become almost inevitable in today’s business world. While it is arguably impossible to find a totally hermetic solution to data loss, virtualization is by far the most worthwhile option.
With a logical data store made possible by virtualization, it is easier to restore data to its original state. Virtualization separates data from infrastructure and provides end users with the ability to restore data from any point in time. This is critical to ensuring the resilience, efficiency, and integrity of companies in their gestión de datos efforts.