Why is real-time data processing so challenging?

Real-time data analysis is all about closing the gap between data collection, analysis, and action. With ever-increasing volumes of data being generated every second, analytics solutions need to keep up the pace. Businesses across industries share the same goal: to minimize the time it takes real-world events to be captured, interpreted and turned into valuable insights. For this, the entire realm of business intelligence tools must adapt to deal with real-time data: machine learning algorithms, predictive analytics, report-oriented dashboards, and visualization tools alike. By investing in real-time data capabilities, businesses gain the opportunity to act on operational trends as they…...