Amazon EMR

1. What is EMR

   Managed big data clusters with primary, core and task nodes running Spark, Hive and Hadoop.

2. Planning and launching clusters

   Choosing applications, storage, instance groups and fleets, and configuring clusters.

3. Instance fleets and groups

   Mixing instance types and purchasing options for cluster capacity.

4. EMR Studio

   Notebook-based IDE for developing and debugging applications.

5. Steps

   Submitting work as steps and running multiple steps concurrently.

6. Security

   IAM roles, Kerberos, encryption and network isolation.

7. Managing clusters

   Monitoring, scaling and terminating clusters.

8. Tutorials

   Walkthroughs for common EMR workloads.

9. Troubleshooting

   Diagnosing failed clusters and steps.

Each section links to the official page. Titles and summaries by Extra Credit; the docs belong to their authors.