Course: Apache Storm Fundamentals training

$131.89 incl. vat


duration: 9 hours |

Language: English (US) |

access duration: 90 days |


In this course you will get an introduction about Apache Storm. You will learn about ZooKeeper in combination with the Storm Trident Architecture and how to use this with the Storm Model.

Finally you will learn to deploy the Storm architecture and many integrations will be explored including Hadoop, Kafka, JMX, Ganglia and even automation using Puppet.

Among subjects that covered are Trident, RPC model, DRPC modes, Storm UI, Nimbus Thrift, HBase and far more.


After completing this course you are familiar with the architecture of Apache Storm.


To follow this online course you need basic understanding of networking and be sure u have advanced computer skills.

Target audience

Software Developer


Apache Storm Fundamentals

9 hours

Apache Storm Introduction – Architecture and Installation

  • start the course
  • describe in a higher scope, Apache Storm and its characteristics
  • describe why Apache Storm is used
  • describe the Apache Storm Architecture
  • identify a tuple and a bolt and their use in Storm
  • identify a spout and its use in Storm
  • identify streams and their use in Storm
  • describe the different operation modes of Storm
  • identify Storm components and their functionality in the source code for an example Storm application
  • describe the setup process for an Integrated Storm development environment
  • use Maven to compile and run a Storm application
  • describe the installation and setup process for ZooKeeper as a standalone server
  • install and set up ZooKeeper on a development machine
  • deploy a ZooKeeper server in standalone mode and test it with a ZooKeeper client connection
  • describe the process for setting up and deploying a ZooKeeper cluster
  • demonstrate the process of setting up a production Storm cluster
  • describe the process of configuring the parallelism of a topology
  • configure the parallelism of spout and bolt components in a Storm topology
  • describe briefly stream groupings and their types
  • use stream groupings in a Storm topology
  • describe the Guaranteed Messaging Process
  • describe the fault-tolerant characteristics of Storm
  • describe briefly what Trident is and how it's used
  • describe Trident's data model and its use
  • describe several operations of Trident
  • test your knowledge of Apache Storm and the components of the system

Apache Storm Introduction - API and Topology

  • start the course
  • use Trident for a simple topology
  • describe topology state management with Trident
  • describe the different types of Trident spouts available for implementing fault-tolerant Trident state management
  • describe the different Trident State APIs available for implementing fault-tolerant Trident state management
  • describe distributed RPC model and how it is used with Apache Storm
  • describe DRPC modes of operation and topology types
  • deploy a Trident topology to a Storm cluster
  • describe the Storm UI home page
  • launch a Storm topology to a local cluster and view cluster activity in the Storm UI
  • analyze a Storm topology using the Storm UI
  • describe the process of using the Nimbus Thrift client for obtaining Storm cluster metrics
  • set up a Maven project in Eclipse IDE that can be used to write Java client code for connecting to a Nimbus Thrift server
  • write Java client code that connects to a Nimbus Thrift server and retrieves Storm cluster statistics
  • describe the general architecture of Apache Kafka
  • describe Kafka components and data model
  • produce and consume a Kafka topic
  • consume Kafka messages in a Storm topology
  • describe some options for using Storm's Core APIs to implement micro-batching in a Storm Core topology
  • describe Apache Hadoop's use with Storm
  • download and install Apache Hadoop on a development machine
  • describe how Apache Storm applications can be run on Hadoop YARN clusters to leverage YARN resource management
  • describe the Puppet architecture and some key framework components
  • describe how JMX and Ganglia can be integrated and used to monitor Storm clusters
  • describe how HBase and Redis can be integrated and used as datastores with Apache Storm
  • integrate and use JMX in Storm to obtain Storm Nimbus and Supervisor metrics
  • demonstrate increased knowledge of configuring and installing Apache Storm

Course options

We offer several optional training products to enhance your learning experience. If you are planning to use our training course in preperation for an official exam then whe highly recommend using these optional training products to ensure an optimal learning experience. Sometimes there is only a practice exam or/and practice lab available.

Optional practice exam (trial exam)

To supplement this training course you may add a special practice exam. This practice exam comprises a number of trial exams which are very similar to the real exam, both in terms of form and content. This is the ultimate way to test whether you are ready for the exam. 

Optional practice lab

To supplement this training course you may add a special practice lab. You perform the tasks on real hardware and/or software applicable to your Lab. The labs are fully hosted in our cloud. The only thing you need to use our practice labs is a web browser. In the LiveLab environment you will find exercises which you can start immediatelyThe lab enviromentconsist of complete networks containing for example, clients, servers,etc. This is the ultimate way to gain extensive hands-on experience. 


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What is included?

Certificate of participation Yes
Monitor Progress Yes
Award Winning E-learning Yes
Mobile ready Yes
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