What We've Learned From Over Two Decades Of Data Virtualization
BigDATAwire, Tuesday, October 8th, 2024
In the early 2000s, the enterprise landscape was dominated by Microsoft Office, ERP systems from SAP and Oracle, and CRM platforms such as Salesforce. This dawn of new tech solutions introduced vast amounts of data into business environments, necessitating the creation of new technologies capable of connecting and integrating an increasing amount of information.
Quite quickly, data virtualization emerged as a promising solution. Since the turn of the millennium, we've witnessed data virtualization grow in sophistication, utility, and popularity.
Today's data virtualization tools promise to provide a unified platform that seamlessly integrates all data - whether in the cloud, on-premises, or elsewhere - without data movement or replication. However, despite lofty goals, real-world experiences with data virtualization tools have often fallen short of expectations.
With over two decades of data virtualization behind us, how can we ensure the next era of data virtualization will be even better?