Real-time Data Processing

Most modern corporations and organizations require real-time data processing; data and analytics teams are increasingly being asked to digest huge volumes of rising data streams from many sources and then uncover their dollar value time to minimize time-to-insight. Whether it’s monitoring the state of high-end machinery, stock market changes, or the number of incoming requests…