After “Big Data” came “Fast Data,” the near real-time application of analytics to data so action can be taken. However, efforts have been bogged down by timeline concerns and budget constraints.
This guide explains: why Fast Data is important and ways to avoid intimidating megaprojects when transforming your data architecture.