Data virtualization is an umbrella term used to represent an approach to data management that permits an application to retrieve and manipulate data without needing technical details about the data, like how the data is formatted or where it is physically located. Experts believe that an evolution of virtualization is in progress. Currently, we are living with storage virtualization, server virtualization, containerization, desktop virtualization, and network virtualization and now data virtualization is the next wave. Here we will discuss the 10 most in-demand data virtualization trends for the IT industry in 2023.
Cloud-native infrastructure has a wide range of potential. Some organizations have declared cloud-first or cloud-only initiatives. And it is a rising challenge for developers. In the nineties, developers bought into the Windows ecosystem. So many worked on Windows that it became an enterprise behemoth. Now, cloud-native applications are trending. Most developers are working on them and that is where IT is headed. This trend is among the 10 most in-demand data virtualization trends for the IT industry in 2023.
How does data virtualization fix the problem? By changing the paradigm. IT architecture traditionally sought to move data to the applications and databases where it is processed or analyzed. But now we are traveling with a large set of data, and it is being created so rapidly that the traditional model is breaking. The demands of real-time processing, and something had to change. That change is manifesting in a shift toward taking applications to the data rather than vice versa.
Thor Olof Philogene, co-founder, and CEO of Stravito thinks that bolstered by the growth and momentum of the data management market, growing self-service access to insights is a fresh developing trend. He mentioned, "This is no surprise, given that consumer insights teams are busier than ever, and consumer centricity is of growing importance." He added, "Insights teams at large enterprises are already advocating for self-service access to market research and insights, moving them from the role of gatekeepers to that of facilitators." This trend is among the 10 most in-demand data virtualization trends for IT industry in 2023.
Self-service access means far greater access to data analytics by far more people. Therefore, the rise of insights democratization, whereby technology is making insights broadly accessible to a wider sphere of stakeholders across the organization. This trend has been ongoing for some time. But now it is accelerating as the top data virtualization trend for IT Industry.
Top data virtualization trends and accessibility, in turn, mean that organizations require to re-evaluate how they present data and insight across the enterprise. Since last decade has enabled sales managers and line of business heads to do far more and have access to greater amounts of data. But this has largely been through dashboards with limited self-service analytics capabilities. The next phase is unleashing the inherent know-how of the business and letting people do whatever they want with analytics capabilities. After all, the sales manager typically knows their area better than an analyst. By putting real self-service analytics into their hands, they can be counted on to find data nuances that were never before available.
The ultimate in virtualization is sending data and applications from on-premises to the cloud. And that is going to drive further forms of virtualization like data virtualization. "As cloud storage and cloud computing become more cost-effective and widely available in the market, more organizations are migrating their warehoused data and their data processing to the cloud," explained Jerod Johnson, technology evangelist, CData.
A company popular as Devron is at the forefront of offering algorithms that are brought straight to datasets as opposed to companies making copies of and centralizing the data to run it through the algorithms. Kartik Chopra, founder and CEO of Devron said that the latter approach is the key cause of data privacy breaches." He further added, "Virtualization of data is leading to data privacy issues around the world; firms and governments can alleviate these challenges using AI and machine learning."
Presently users want both logical and physical consolidation with the fewest restrictions or the facility to stack database instances and containers, not machines. The aim is to stack workloads, not operating systems. Users also want to eliminate OS sprawl and hardware limitations, while enabling greater capabilities around high availability (HA) and disaster recovery (DR). And at last, they want to be able to pull an already-consolidated Docker environment into a high-availability framework and enable their stateful containers to fail over between hosts while all persistent data remains intact. This is leading to increased demand for data center liberation. It is among the top data virtualization trends in 2023.
Cloud data warehouses are bringing significant changes in how companies manage and retrieve data. As cloud-native technologies, these systems can abstract a variety of data sources behind familiar tables and views. "While today each vendor has its innovative features, by the end of the decade, we'll see a definitive convergence towards a feature set that blurs the line between data stored in the warehouse and data the lives outside of it," said Max Seiden, principal engineer, Sigma Computing.
Organizations typically have applications in more than one cloud. "Users are adopting a multi-cloud approach and will use the cloud that offers the best price and optimal performance for the specific application," commented David McNerney, spokesperson of Virtana. He further added "It means that we will see increased signs of cloud movement; if one cloud fail to hit price or performance goals, customers will switch to the more reliable cloud. With frequent cloud movement and a multi-cloud strategy also comes the need for cost accounting. Containers and PaS capabilities require the need to allocate costs, and without cost accounting, there is a lack of responsibility and visibility throughout cloud management."
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