In the last several years, Hadoop has evolved into an excellent and mature batch processing framework which handles the volume, veracity and variety of Big Data. However, many use cases across various domains need to handle the velocity of big data that Hadoop simply is not suited to handle. These use cases require real-timeresponses for faster decision making, including but not limited to:
- Credit card fraud analytics
- Network fault prediction using sensor data• Social media sentiment analysis.