Apache Spark is a cluster computing system. It is quick and its general purpose is to offer high level APIs in Java, Scala and Python. It also provides an optimised engine capable of supporting general execution graphs.
Apache Spark is quick. Equipped with state-of-the-art DAG scheduler, a query optimiser, 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.
Here at Vsourz, we understand the capabilities of Spark and the kind of requirements that businesses come to us with. We can work with clients to integrate the many unique features of Spark in a way which is aimed at optimising end-user experience.
The data gathered by wearable devices and collected in medical records can be harvested and analysed in order to derive insights which will better focus on the delivery of health care.
Hospitality providers, including hotels and airlines, can use the precisive modeling enabled by Spark. Real time streaming has two benefits – it makes it simple to reach mobile customers and it facilitates travel contingency planning. The user profiling power of Sparks can also be utilised in order to customise both services and marketing content
PROCESS DATA SUPER QUICKLY WITH APACHE SPARK