Published: 25 May 2016
Data integration practices need fluidity to process data "anywhere," self-optimize and support diverse personas to operate with connected ecosystems of multistructured data, cloud platforms and "things." Integration, data and analytics leaders must deliver more and hybrid ways to exploit data.
Included in Full Research
- As data integration architectures continue to shift from physical bulk/batch movements to virtualized and real-time granular data delivery, data and analytics leaders must intertwine integration styles to match all requirements of business changes
- As integration efforts increasingly address multistructured data, diverse personas, source trustworthiness, and hybrid support for platform and pricing variety, buyers seek data integration tools that will deliver on these demands.
- How data integration relates to and participates in hyperconnected infrastructures will compel data leaders to invest in "smart" processing