Exercises: Difference between revisions
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* Exercise 3: '''Streaming Spark.''' We will continue analysing tweets or other streaming types of information. <!-- Kafka --> | * Exercise 3: '''Streaming Spark.''' We will continue analysing tweets or other streaming types of information. <!-- Kafka --> | ||
* Exercise 4: '''Spark in the cloud.''' We will run Apache Spark on a cluster of virtual machines in the OpenStack cloud. <!-- Docker --> | * Exercise 4: '''Spark in the cloud.''' We will run Apache Spark on a cluster of virtual machines in the OpenStack cloud. <!-- Docker --> | ||
* Exercise 5: '''Cloud management.''' | * Exercise 5: '''Cloud management.''' We will automate upgrading and scaling of clusters using Terraform and Ansible. | ||
I also hope to be able to do something with Docker, Docker Swarm and/or Kubernetes. | |||
Revision as of 08:17, 22 August 2022
Outline of the exercises. Because the exercises are new this year, it is hard to plan exactly, so this is likely to change a bit!
- Exercise 1: Getting started with Apache Spark. Installing Spark and running your first programs.
- Exercise 2: Programming Spark. Basic Spark programming. Simple streaming.
- Exercise 3: Streaming Spark. We will continue analysing tweets or other streaming types of information.
- Exercise 4: Spark in the cloud. We will run Apache Spark on a cluster of virtual machines in the OpenStack cloud.
- Exercise 5: Cloud management. We will automate upgrading and scaling of clusters using Terraform and Ansible.
I also hope to be able to do something with Docker, Docker Swarm and/or Kubernetes.
