Apache Spark is quick. Equipped with state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine both batch and streaming data can be done at hundred times faster speed.
Versatility is guaranteed by the fact that Spark works equally well with a wide range of tools. These include open-source frameworks such as Hadoop and Mesos, and it works equally well either in the cloud or as a standalone tool. It can also access data from the likes of Cassandra, HBase, HDFS, R and S3 quickly and simply.
The data gathered by wearable devices and collected in medical records can be harvested and analyzed in order to derive insights which will better focus on the delivery of health care.
PROCESS DATA SUPER QUICKLY WITH APACHE SPARK