Data virtualization use cases

In this section, you will review three specific scenarios where a modern enterprise data hub implemented using data virtualization technology adds significant value to your solution.

Data virtualization and hybrid transactional analytical processing

One approach that has gained popularity in recent times is operational analytics, also known as hybrid transactional analytical processing (HTAP). With this approach, you blend the operational workload and the analytical workload into a single system for that dataset. This has the advantage of consolidation and can limit data duplication. It also addresses data quality issues at the source, which leads to a reduction in the data management burden. However, there is a notable downside. Most enterprises have multiple-source systems, which would result in multiple HTAP systems. This introduces the challenge to users of querying across all their analytical data.

Enter your modern enterprise data hub....