BEST PRACTICES FOR REAL-TIME ANALYTICS FOR HIGH DATA VOLUMES
December 06, 2018 | (9:00 a.m.)
USA (United States of America)
With the continued evolution of big data analytics applications, there is an emerging paradigm for real-time decision making. This ability to exploit analytical models to influence behaviors within predefined time windows—by simultaneously processing massive data volumes yet getting immediate analytical results—allows businesses to leverage new opportunities to compete more effectively. The conventional approach to data warehousing with its need for staging, synchronization, and sequences of data extraction and transformation, however, elongates the process and diminishes the ability to derive fast analytical results. New architectures and strategies will be required to obtain these new results.