Data Virtualization For Dummies
Organizations are challenged by ever-growing data volumes, as well as data types that are increasingly diverse. With the advent of big data and the proliferation of multiple information channels, organizations must store, discover, access, and share massive volumes of traditional and new data sources.
At the same time, more business opportunities can be realized only if large and diverse sources can be integrated in near-real time, if not in real time. In today’s complex data landscape, it is no longer feasible to replicate data from myriad sources into a central repository because of the associated costs and delays in accessing the data. Cloud storage architectures have helped, but they still establish independent data silos that cannot be seamlessly integrated with other systems, such as traditional data warehouses.
Data virtualization is a modern approach to data integration. It transcends the limitations of traditional techniques by delivering a simplified, unified, and integrated view of trusted business data in real time or near-real time, as needed by consuming applications, processes, analytics, or business users.
Die Inhalte des E-Books im Überblick:
- The challenges of data silos, data overload, and regulatory compliance
- What data virtualization is and how it helps businesses
- Data virtualization use cases
- How data virtualization enables big data solution
- Data virtualization in the cloud
- How to get started with data virtualization
- Key things to know about data virtualization