Now that we have acquired some practice using services, we step up to the next level. We'll deploy Apache Spark on Swarm. Spark is an open source cluster computing framework from the Apache foundation, which is mainly used for data processing.
Spark may be (but not limited to) used for things, such as:
Analysis of big data (Spark Core)
Fast and scalable data structured console (Spark SQL)
Streaming analytics (Spark Streaming)
Graph processing (Spark GraphX)
Here we will focus mainly on the infrastructural part of Swarm. If you want to learn how to program or use Spark in detail, read Packt's selection of books on Spark. We suggest starting with Fast Data Processing with Spark 2.0 - Third Edition.
Spark is a neat and clear alternative for Hadoop, it is a more agile and efficient substitute for the complexity and magnitude of Hadoop.
The theoretical topology of Spark is immediate and can reckon the Swarm mode on one or more managers leading the cluster operations and a certain...