Data Virtualization

Data Virtualization

Data Virtualization is a umbrella term used to describe an viewpoint to data management which enables an app to retrieve and manipulate data without the need for technical details about the data, like How the data is formatted or where it is physically located. The aim of data virtualization is to create a single representation of data from many, different sources without having to copy or move data.

Data virtualization software collects structured and unstructured data sources for virtual viewing through the software dashboard or visualization tool. The software allows metadata to make the data discoverable, but hides the complexity associated with accessing different data types from various sources. It,s important to note that data virtualization does not replicate data from source systems; It only stores metadata and integration for viewing logic. Vendors specializing in such software include IBM, SAP, Denode Technologies, Oracle, Tibo Software, Microsoft and Red Hat.

How Data Virtualization Works

Essentially, data virtualization software is the middleware that allows virtually unifying data stored in different types of data models. Such a platform allows authorized consumers to access data from a single point (or care) without access to the entire data of an organization, even if the data glass house is in the mainframe, on premises in a data warehouse or in a data lake in the cloud.

Since Data Virtualization software platforms view data sources in such an unknowable way, they have a wide range of cases of usage. For example, centralized management aspects can be used to support data governance initiatives or make data-driven business analytics app easier to test and deploy.

Data virtualization can play a role in software management that is capable of accessing some data sources and which is not. Data is probably one of the most important reasons to deploy virtualization software, however, to support those business objectives, for which stakeholders are required to see a source of truth (SSOT) in the most cost effective manner is.

Data Virtualization Versus Data Federation

Some sellers interact with label data virtualization and data federations. For developers, though, they can mean a little different things. The target of data federation technology is to collect odd data from odd sources and see it consistently from a single point. The term of data virtualization means that technical information about the data has been hidden.