Sensor Data Processing : Apache Spark’s “In-memory” computing works best here, as data is retrieved and combined from different sources.
Real Time Processing : Spark is preferred over Hadoop for real-time querying of data. e.g. Stock Market Analysis, Banking, Healthcare, Telecommunications, etc.
Stream Processing : For processing logs and detecting frauds in live streams for alerts, Apache Spark is the best solution.
Big Data Processing : Spark runs upto 100 times faster than Hadoop when it comes to processing medium and large-sized datasets.
