It wouldn’t take a genius to notice the evolution of modern technology. In just the past ten years, we’ve watched the flip-phone transform into the smartphone and the automobile inch towards autonomy. Within our own space, we’ve noticed similar shifts, as the resurgent process of data virtualization is growing in importance within the larger data integration market. To further understand the nature of this shift, we take to Gartner:
“As data integration architectures continue to shift from physical bulk/batch movement to virtualized and real-time granular data delivery, data and analytics leaders must intertwine integration styles to match all requirements of business changes.” 1
It appears as though a similar evolution is underway, as a combination of data integration styles are now required to meet the rigorous demands of being a 21st century corporation. Specifically, it appears that the proper combination of integration styles would be ETL and data virtualization, as its pairing yields a hybrid approach capable of handling bulk movements, while opening the doors to real-time data access.
