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| Data Virtualization. |
The practice of retrieving data from numerous resources without knowing its type or physical location is known as data virtualization. It collects heterogeneous data from a variety of sources and makes it available to data users across the enterprise who need it for their jobs. Any application, including web portals, web services, E-commerce, Software as a Service (SaaS), and mobile applications, can access this heterogeneous data.
In the fields of data integration, business intelligence, and cloud computing, Data Virtualization can be used.
Data Virtualization's Benefits
The following are some of the benefits of data virtualization:
- It enables users to access data without having to worry about where it is stored on the memory.
- Customer satisfaction, retention, and revenue growth are all improved.
- It has a number of security features that allow users to save their personal and professional information safely.
- It saves money by eliminating data replication.
- It has an easy-to-use interface for creating customised views.
- It provides a number of easy-to-use and quick-to-deploy resources.
- It improves the efficiency of business users by giving real-time data.
- Data integration, business integration, Service-Oriented Architecture (SOA) data services, and corporate search are some of the activities it may do.
Data Virtualization's Disadvantages/Drawbacks:
- Because availability is maintained by third-party providers, it causes problems.
- It came at a huge price in terms of implementation.
- It causes issues with availability and scalability.
- Although it saves time during the virtualization implementation phase, it takes longer to get the desired output.
Applications of Data Virtualization:
Data virtualization can be used for the following purposes:
1. Examine your performance.
- Data virtualization is used to compare the organization's performance to previous years.
2. Look for and learn about data that is related to each other.
- Data Virtualization (DV) is a method for quickly searching data that is comparable and internally related to one another.
3. Agile Business Intelligence is a term used to describe a type of business intelligence.
- It's one of the most prevalent Data Virtualization applications. It is utilized in agile reporting and real-time dashboards that demand the gathering, analysis, and presentation of pertinent data from numerous sources in a timely manner.
- Individuals and managers use it to track their performance, which aids in daily operational decision-making in areas like sales, support, finance, logistics, legal, and compliance.
4. Data Administration
- Data virtualization provides a centralized, secure layer for searching, discovering, and managing unified data and its relationships.
- Data virtualization is used in the communication and technology business to boost revenue per customer, establish a real-time ODS for marketing, manage customers, improve customer insights, and improve customer care.
- In the financial sector, DV is used to improve trade reconciliation, data democracy, data complexity, and fixed-risk income management.
- DV is utilized in the government sector to safeguard the environment.
- In the sphere of healthcare, data virtualization is extremely crucial.
- In healthcare, DV aids in the improvement of patient care, the development of new products, the acceleration of M&A synergies, and the analysis of claims.
- Data virtualization is used in the manufacturing business to optimize a global supply chain, optimize operations, and improve IT asset use.
