The current data landscape is fragmented, not just in location but also in terms of shape and processing paradigms. Data lakes, IoT architectures, noSQL, SaaS, etc. coexist with relational databases to fuel the needs of modern analytics, ML and AI.
A logical architecture based on a virtualization layer connects the different systems and exposes them as one, while simultaneously hiding the underlying complexity of the back-end systems from the business user:
- One single location to get all your data and accelerates time to market
- The need to replicate data is significantly reduced, reducing costs
- Data is traced to the source and secured, boosting data governance and security efforts