This tutorial covers the core concepts of Streaming Analytics Manager (SAM) and the role it plays in an environment in which Stream processing is important.
We will create a SAM topology to ingest streams of data from Apache Kafka into our stream application, do some complex processing and store the data into Druid and HDFS.
- Downloaded and deployed the Hortonworks DataFlow (HDF) Sandbox
- Stream Processing & SAM– You will learn the fundamental concepts of Stream Processing and SAM.
- Create a SAM Topology– You will learn to build a stream processing application
Tutorial Reference Application
This tutorial series uses our Trucking IoT Application comprised of multiple sub-projects. You will build the SAM topology application su-bproject.