Modernizing Data Architectures using Data Virtualization
Updated: May 25
Nowadays the world lives at a dizzying speed, difficult to keep up or predict what will be the next breakthrough.
The task of a data architect to modernize infrastructures is enormous, emphasizing the importance of data value and data understanding in the business and the constant concern to access this information more efficiently, more widely and more deeply.
Traditional methods are becoming obsolete through new technologies that produce more and more data and enrich existing information but generate authentic lakes of hard-to-exploit information.
The end-user, in turn, no longer waits for analysis, he uses reporting tools to get his answers. The information must arrive in real-time, have quality, be confidential and comply with the regulations (GDPR).
This is where a new element in architecture comes in: Data Virtualization.
Data Virtualization enables data architecture to be modernized without disrupting existing reporting and analysis information.
These capabilities come from the fact that Data Virtualization layer is located in a single abstract layer above the different data sources and channels, this is a space where all the information in those sources is combined into a canonical view for the business.
This abstraction layer works in a way that the consumer is unaware of any changes made to the sources.
In Data Virtualization there is no duplication of data, but a link to different data sources, which, regardless of whether or not they are structured data, the Virtual layer can create combinations between different models.
Finally, this tool can provide information across different data reporting platforms, managing at a single point who can access and ensuring data security.
These unique capabilities of Data Virtualization are not intended to eliminate existing infrastructures, but enable them to be empowered with new possibilities, making every investment in IT reused, increasing speed and efficiency.
We don’t know what the future holds, but we have the clarity to realize that it goes through Data Virtualization.
by Gonçalo Ricardo
Business Intelligence Consultant @Passio Consulting