Need For Data Virtualization

We are seeing massive upswings in the volume, variety and velocity of data. Business now want to use the data that was difficult to process in the past for – Decision Making, Exploratory Analysis, Advanced Analytics, New Applications (including mobiles). Adding to that the information landscape has become more complex. So the ability to get simple data access is more relevant than ever. Data virtualization technologies can help create a single access point to the pool of data you need to support your business.

Here are some of the reasons why some organization may benefit from Data virtualization

Simplified Access to data:

  • Data virtualization focuses on simplifying access to data by isolating the details of storage and retrieval and making the process transparent to data consumers.
  • The end user will never know—and doesn’t need to know—the details about the data sources. This means changes to source systems will not affect downstream applications. The burden on IT is reduced since the solution does not have to be reconfigured each time a change is made.
  • An organization can create a virtual view across data in the warehouse and data that exists within Hadoop to create a new logical data warehouse. Because end users interact with only one endpoint and use the same access methods they are accustomed to, they can easily take advantage of these new insights from the big data platform without learning new languages and without administrators having to maintain user privileges in multiple locations.

Reduced Costs:

  • Multiple information access points also increase the total cost of ownership since each access point requires administration, security and management resources.
  • Reliance on older technologies to get to data eventually requires organizations to purchase more hardware, more databases and more software with more capabilities—all of which require budget.
  • Because data virtualization involves virtual consolidation of data rather than physical movement, there is no need to create new databases or purchase additional hardware to store the consolidated data.

Faster Time to Value:

  • Building virtual data stores is much quicker than creating physical ones since data does not have to be physically moved.
  • Data virtualization reduces the time required to take advantage of disparate data, which makes it easier for users and processes to get the information they need in a timely manner.

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