In troubled times like the current coronavirus pandemic, which is causing unprecedented reduction in budgets and staff, CIOs look to invest in technologies that advance their digital transformation projects while lowering costs. Data integration and management is critical to a successful digital transformation, but some aging, rigid technologies are driving enterprises to look for modern, flexible, efficient, and cost-effective alternatives.
As enterprises modernize their IT infrastructure with technologies that help lower their ongoing costs, they ensure the availability and integrity of data and enable business operations to continue uninterrupted - which has never been more important. Data virtualization helps a CIO accomplish both goals: to enable digital transformation while lowering costs. Data virtualization is used in projects such as cloud modernization, data science, data discovery, 360-degree views of customers, products, and assets, data warehouse offloading, and integrating data in motion such as IoT data with data at rest.
In this session we will look at the data integration challenges solved by data virtualization, the main use cases and examine why this technology is growing so fast.
You will learn:
- What data virtualization really is
- How it differs from other enterprise data integration technologies
- Why data virtualization is finding enterprise-wide deployment inside some of the largest organizations