emr-serverless-samples
importedsoftware/emr-serverless-samples
Example code for running Spark and Hive jobs on EMR Serverless.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT-0(osi)
- Status
- active
- Maturity
- deployed
- Organization
- aws-samples
- Country
- unknown
- Homepage
- aws.amazon.com/emr/serverless/
- Documentation
- unknown
- Tags
- analytics · aws · cdk · cloudformation · emr · emr-serverless · hive · iceberg
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- aws-infrastructureaws · cloudformation · emr
AWS infrastructure: Cloudformation, Terraform...
- Real-Time-Fraudulent-Transaction-Analytics-Pipelinecloudformation · emr
A Big Data project leveraging AWS services and Apache frameworks to identify and visualize fraudulent credit card transaction patterns, providing actionable insights to mitigate financial fraud.
- terraform-aws-emr-clusteremr · hive
Terraform module to provision an Elastic MapReduce (EMR) cluster on AWS
- Covid-19-and-Aviation-Industryanalytics · aws
The goal of this project is to analyse the impact of Covid-19 on the Aviation industry through data engineering processes using technologies such as Apache Airflow, Apache Spark, Tableau and couple…
- airflow-dittoaws · emr
An airflow DAG transformation framework
- AWS_EMR_Pysparklingaws · emr
Set Up Python environment on AWS EMR cluster with H2O Sparkling Water (Pysparling)
- api.github.com/repos/aws-samples/emr-serverless-samplesretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-07-08, 171 stars, license reported as MIT-0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/38.json→ .entries["emr-serverless-samples"]
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