Big Data Analytics Using Artificial Intelligence Technologies — Zookeeper and Apache Airflow | Computer Science Online Tutorial

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Big Data Analytics Using Artificial Intelligence Technologies

A self-paced online tutorial session on zookeeper and apache airflow, part of the Big Data Analytics Using Artificial Intelligence Technologies track. Work through the topics below, then reach out any time if you'd like a live walkthrough.

Estimated session length: 9 hours Format: Online, self-paced

What this tutorial covers

  • 01Introduction to Apache Kafka
  • 02Cluster Architecture
  • 03Kafka Messaging
  • 04Components in Messaging
  • 05Creating and Deleting Kafka Topics
  • 06Creating Multiple Brokers
  • 07Kafka Producers
  • 08API for Kafka Producers
  • 09Producer Implementation
  • 10Three Ways to Send Kafka Message
  • 11Kafka Consumers
  • 12Consumer Groups
  • 13API for Kafka Consumers
  • 14Consumer Implementation
  • 15Integration with Spark
  • 16Apache Airflow
  • 17Directed Acyclic Graph (DAG)
  • 18CLI Commands

How to use this session

Read through each topic in order — they build on one another. Keep a notes document open and try to restate each concept in your own words before moving to the next one; that single habit does more for retention than re-reading ever will.

If any topic above needs a deeper explanation, a worked example, or a live session with an instructor, get in touch using the details below and we'll set up a time that works for you.

Need help with this topic?

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