More businesses across various sectors of the economy are recognizing the need to adopt virtual systems that take information in real-time and make better decisions for the road ahead. Depending on the source database, organizations find themselves taking all of the facts at their disposal in a virtual environment to lead the way in business processes. Data virtualization is key in bringing a secure and scalable program that allows for the best ways to monitor this real-time data.
Combing through datasets can find trends from the past and bring them to the present. It’s all about upgrading to the 21st ceremony. Database virtualization software acts as a bridge across multiple data sources to make for one virtual access point. Data virtualization provides a modern data layer for users to access, transform, and deliver information with breakthrough speed and cost-effectiveness. This technology also is able to use modern software to intertwine existing physical databases with the help of public clouds.
With database virtualization, users can apply a range of analytics to get up-to-the-minute updates with a link between a physical machine and a virtual machine. With proper data governance and security, users are assured that the information being provided is consistent and of the highest quality. Data virtualization allows for more business-friendly data, transforming native IT structures into a sustainable business directory. Virtualization platforms support multiple lines of business, across hundreds of projects with thousands of users at any given time.
Virtualization Use Cases
Data virtualization finds itself in three different use cases: Analytics, operational, and emerging. In analytical use, companies can rely on virtualization to integrate physical data without fear of replication and redundancy. Systems like Oracle work to build a logical data warehouse within a database server to prepare information and operate it within regulatory constraints. Operational use cases allow for legacy system migration, maintaining proper data management, and keeping a steady workload without unnecessary tasks. Emerging use cases emphasize data hub enabling and cloud data sharing for the future of a business.
There are major capabilities to having data virtualization platforms in place. This starts with agile design and development that can uncover hidden relationships in data, even avid live migration of data. These capabilities automate difficult work and improve solution time. An optimized query executes a single statement, and the result is delivered in proper form to avoid replication as much as possible. Caching essential data through virtualization also boosts performance and avoid network constraints by making data easier to find. This makes for a great impact within analytics, without stretching resources far too thin.
Data Virtualization Applications
Database virtualization software can be used in a variety of realms to handle information safely and securely. In the communications and technology field, companies are able to differentiate their market research services. This in turn helps to increase revenue per customer, while building a virtual customer data lake and optimize customer care. In the energy sector, data virtualization efforts optimize upstream production, improving maintenance and repair in varying circumstances.
In the financial services field, database software helps to manage fixed-risk income and improve trade reconciliation. This form of software also accelerates new client onboarding onto a virtual database. This empowers data democracy and enriches cash management clients for the long run. Throughout the healthcare realm, insurers are able to provide more efficient claims analysis to improve patient care. In addition, data virtualization can drive new product innovation for greater options in the long run for patients. In the manufacturing sector, database virtualization optimizes factories and logistics throughout a supply chain. Simply put, virtualization is the future of business.