(airflow) branch main updated: Update EMR index.rst (#36665)

[el...@apache.org]

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The following commit(s) were added to refs/heads/main by this push:
     new 90fb783953 Update EMR index.rst (#36665)
90fb783953 is described below

commit 90fb783953f24208fa9b7f6f0219b4db01e0801c
Author: Damon P. Cortesi <d....@gmail.com>
AuthorDate: Mon Jan 8 11:09:52 2024 -0800

    Update EMR index.rst (#36665)
---
 docs/apache-airflow-providers-amazon/operators/emr/index.rst | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/docs/apache-airflow-providers-amazon/operators/emr/index.rst b/docs/apache-airflow-providers-amazon/operators/emr/index.rst
index 57d517d3b1..fa485aa7e0 100644
--- a/docs/apache-airflow-providers-amazon/operators/emr/index.rst
+++ b/docs/apache-airflow-providers-amazon/operators/emr/index.rst
@@ -20,6 +20,13 @@
 Amazon EMR Operators
 ====================
 
+Amazon EMR offers several different deployment options to run Spark, Hive, and other big data workloads.
+
+1. `Amazon EMR <https://docs.aws.amazon.com/emr/latest/ManagementGuide/emr-overview.html>`__ runs on EC2 clusters and can be used to run Steps or execute notebooks
+2. `Amazon EMR on EKS <https://aws.amazon.com/emr/features/eks/>`__ runs on Amazon EKS and supports running Spark jobs
+3. `Amazon EMR Serverless <https://aws.amazon.com/emr/serverless/>`__ is a serverless option that can run Spark and Hive jobs
+
+While the EMR release can be the same across the different deployment options, you will need to configure each environment separately to support your workloads.
 
 .. toctree::
     :maxdepth: 1