Prerequisites: Working with Oozie requires some basic knowledge of the Hadoop eco-system and running MapReduce jobs

Taught by a team which includes 2 Stanford-educated, ex-Googlers  and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with large-scale data processing jobs. 

Oozie is like the formidable, yet super-efficient admin assistant who can get things done for you, if you know how to ask

Let's parse that 

formidable, yet super-efficient: Oozie is formidable because it is entirely written in XML, which is hard to debug when things go wrong. However, once you've figured out how to work with it, it's like magic. Complex dependencies, managing a multitude of jobs at different time schedules, managing entire data pipelines are all made easy with Oozie

get things done for you: Oozie allows you to manage Hadoop jobs as well as Java programs, scripts and any other executable with the same basic set up. It manages your dependencies cleanly and logically. 

if you know how to ask: Knowing the right configurations parameters which gets the job done, that is the key to mastering Oozie

What's Covered: 

Workflow Management: Workflow specifications, Action nodes, Control nodes, Global configuration, real examples with MapReduce and Shell actions which you can run and tweak

Time-based and data-based triggers for Workflows: Coordinator specification, Mimicing simple cron jobs, specifying time and data availability triggers for Workflows, dealing with backlog, running time-triggered and data-triggered coordinator actions

Data Pipelines using Bundles: Bundle specification, the kick-off time for bundles, running a bundle on Oozie