Ventana Research Big-Data Integration focuses on the issues associated with accessing and using big data efficiently and and using technologies and tools to facilitate these efforts. This research examined the use of big-data integration in the real world to discover how organizations use it or are planning to use it effectively and derive value from it. The research investigated the range of integration technology capable enough to handle big data regardless of whether it originates in the enterprise or across the Internet. For this reason, tools for big-data integration must be able to work with a range of underlying architectures and data technologies that were assessed including data appliances, flat files, Hadoop and in-memory computing as well as conventional database technologies like RDBMS and the NoSQL and nonrelational structures of content and text.
This benchmark research identified, explored and quantified the ways in which organizations use big-data integration to gain business value from their data investments. It explored the perceived value of more effective data management processes, and assessed the relative maturity of large-scale data integration in the dimensions of people, process, information and technology. The result of which will help organizations assess their environment and examine best practices and methods for select integration technology and processes to help with their big data environments.
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