What Are the Benefits of Data Virtualization Technology?

Data virtualization
Data virtualization

Data virtualization is a crucial step in data management that allows businesses to access and use data from multiple sources without having to physically copy or move the data. This can save businesses time and money while making it easier to manage large amounts of data. Keep reading to learn more about data virtualization technology and how it can benefit your business.

Data virtualization enables developers to publish data services, so developers can build applications that deliver holistic enterprise information to the business. Data virtualization reduces the need for manual coding, freeing up developers to focus on information delivery at scale and speed.

Understanding Data Virtualization

Data virtualization is a technology that allows you to create a logical, unified view of data that is independent of the physical location or format of the data. This means that you can work with data from multiple sources as if it were all in one place.

Data virtualization also makes it possible to hide the complexity of the underlying data sources and storage systems, making it easier for your users to find and use the data they need when they need it most.

For example, if you are trying to consolidate data from multiple sources into a data warehouse, virtualization is an effective way to simplify the process. It can also be helpful for reporting and analysis since it allows you to access data from multiple sources without having to create complicated joins or SQL statements.

Improve Efficiency and Reduce Costs

Virtualization also helps businesses more efficiently use their existing storage infrastructure, eliminating the need to spend money on excess storage space.

In addition, data virtualization can help businesses improve their customer service. By having a single source of truth for customer data, businesses can more easily identify and address customer issues. This can lead to a better customer experience and increased customer loyalty.

Make Better Decisions, Faster

Data virtualization can improve decision-making by reducing the time it takes to get information. By combining data from different sources, virtualization gives businesses a more holistic view of their organization.

Virtualization is also valuable for data integration projects.

Enhanced Security

Enhanced Security | Chicago IT Consulting | ZLan Partners

Data virtualization can improve the security of business data by providing a single point of control for managing data access. By consolidating data from multiple sources into a single data store, data virtualization helps to reduce the risk of data breaches that can occur when data is stored in multiple, isolated systems.

Another benefit of consolidating data access permissions into a single system is that it helps to prevent unauthorized access to sensitive data. Having a centralized system for granting access permissions helps ensure that only authorized users have access to the information they need to do their jobs. This helps to protect your data from unauthorized access, alteration, or destruction.

Data virtualization technology offers several important benefits that can help organizations improve how they manage data. These benefits include increased efficiency, improved data accuracy, and enhanced security. By taking advantage of data virtualization technology, organizations can improve their overall data management capabilities and performance.

How does it work?

Data virtualization combines two technologies to offer organizations flexible and scalable data. Two technologies are:

  • Data federation: Connecting multiple databases and showing them to the user as a single database. The technology provides flexibility to query data.
  • Analytical database management: Providing scalability to a logical data warehouse. Analytical databases are available as data warehouse appliances and no effort is required to relocate data for analysis in this virtual layer.
  • What are the challenges of data virtualization?

    • A sufficient amount of data sources (>10) is needed for a logical data warehouse to make more sense in terms of efficiency. Otherwise, the trade-off between cost and speed may not be worth it.
    • Logical DW does not provide a single source of truth like a traditional DW. Stability, availability, data consistency and correctness of a logical DW may challenge organizations.


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