This article was originally published on CIO.com

Data analysis is widely acknowledged as a key technology behind digital transformation. The desire to create new digital services and to react faster to information often drives new analytics and AI initiatives.

Data analysts tend to focus on data, and how it can be used to solve business problems We always hear requests for more data and higher quality data. This data-centric focus has led to centralized architectures for analytics, especially since most data historically originated on premises.


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Over time, more data has originated off premises, driven by cloud computing and edge devices. Our natural tendency is to stream that data back to a central location for analysis. This drove the development of data streaming architectures like Lambda and Kappa, and calls for ‘fast data’ in addition to ‘big data.’

This article was written by: Brand Post