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Strategic Partnerships for Data Platform ModernizationLONDON, April 14, 2021 /PRNewswire/ -- The global pandemic has underlined the importance of digital services that can be deployed quickly and reliably. Particularly in the Middle East, the ability to roll out such services has enabled a recent surge of growth. But for many companies, this ability requires a complete digital transformation across every department, including the modernization of critical database systems, which enables companies to leverage the latest cloud technologies. Such transformations are far from trivial, and unfortunately, they are often unsustainably costly. This is mostly because data, the life-blood of every organization today, is stored across many different kinds of databases, applications, and systems, and many organizations simply cannot afford to interrupt data access while they build and implement new infrastructure. Even if organizations attempt to install a new system alongside an existing, legacy system, such as a data warehouse, it is challenging to integrate the data between the old and new systems, to support today's demanding use-cases. Most data-integration solutions work by physically replicating data to a new repository via extract, transform, and load (ETL) processes, but such processes are batch-oriented, so they cannot support real-time data-access, which is becoming increasingly important. In addition, they do not support agility, as they need to be re-scripted, re-tested, and re-deployed every time there is a change to one or more systems. The Logical Approach Rather than moving data, data virtualization provides real-time views of the data, leaving the source data exactly where it is. With this architecture, companies do not have to pay the costs of moving and housing the data, and yet they still gain all of the benefits of data integration. Because data virtualization accommodates existing infrastructure in its existing state, it is relatively easy to implement, compared with other solutions. And because it provides data in real time, from a variety of systems that are nrmally very time consuming to integrate, such as transactional processing systems and cloud-based storage systems, it can support a wide variety of modern use cases. Data virtualization enables zero-downtime migrations to new systems and seamless, real-time data-access across myriad systems, such as modern and legacy systems, simultaneously, enabling companies to migrate to these new systems at their own pace, while users enjoy uninterrupted access to data and services. Finally, because data virtualization works without replication and does not require extensive development, it is extremely cost-effective. In short, data virtualization provides a strong foundation for digital transformation and data platform modernization, and as a testament to that, the data virtualization market has recently been growing at roughly 50% year-over-year. Denodo, the Leader in Data Virtualization Denodo Platform 8 is the industry's only data virtualization platform that offers all of the necessary capabilities of a logical data fabric: an active data catalog for semantic search and enterprise-wide data governance, industry leading smart query acceleration powered by AI, automated cloud infrastructure management for multi-cloud and hybrid scenarios, and embedded data preparation capabilities for self-service analytics, to help bridge the gap between IT and business. The Denodo Partner Ecosystem Because digital transformations are extensive, involving a company's business practices and culture, Denodo relies on its partners to provide additional value to customers, enabling them to undergo digital transformations that meet their unique business goals. Denodo and the Middle East To learn more, potential partner companies are encouraged to view the webinar session on-demand: https://pages.denodo.com/Win-More-Business-with-DataVirtualization.html
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