When virtualisation won ' t work
DIGITAL DISRUPTION
48 warehouses . All these solutions aim to address the business user ’ s needs , which results in data silos and lack of governance .
Businesses are constantly trying to address disparate data systems by building big data platforms . However , data virtualisation allows disparate data sources to be combined within a logical layer or ‘ virtual database ’. Such a solution will result in quicker access to data , reduce development and implementation timelines , minimise data replication , reduce cost , and deliver an agile approach that can adjust to new business needs .
When virtualisation won ' t work
While it is easy to understand the merits of data virtualisation , it begs some obvious questions around when enterprises should avoid using the solution .
Trend and analytics reporting requires voluminous data to be crunched using complex business rules . Crunching huge volumes of data virtually could impact performance and slow down analysis , so it is better to create a physical copy of the required data in order to boost performance . Most of the time source systems are already stretched to the limit and cannot process any more queries .
SEPTEMBER 2018