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AWS EMR

AWS EMR

Last updated , generated by Sumble
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What is AWS EMR?

AWS EMR (Elastic MapReduce) is a managed cluster platform that simplifies running big data frameworks, such as Apache Hadoop, Apache Spark, Apache Hive, Apache Pig, Apache Flink, Presto, and Apache Hudi, on AWS. EMR is commonly used for processing large datasets, log analysis, data warehousing, machine learning, and other data-intensive tasks. It allows you to provision, manage, and scale clusters of virtual servers running these frameworks, without needing to handle the underlying infrastructure management.

What other technologies are related to AWS EMR?

AWS EMR Competitor Technologies

AWS Redshift is a data warehouse service that competes with EMR for large-scale data processing and analytics workloads.
mentioned alongside AWS EMR in 3% (3.6k) of relevant job posts
Google Bigtable is a NoSQL database service that can be used for some of the same use cases as EMR combined with other technologies.
mentioned alongside AWS EMR in 100% (59) of relevant job posts
Azure Synapse Analytics is a data warehouse service and can compete with EMR for big data workloads.
mentioned alongside AWS EMR in 98% (59) of relevant job posts
GCP Dataproc is a managed Hadoop and Spark service, a direct competitor to AWS EMR.
mentioned alongside AWS EMR in 5% (570) of relevant job posts

AWS EMR Complementary Technologies

AWS Glue is a fully managed ETL service that can be used to prepare and transform data for use with EMR.
mentioned alongside AWS EMR in 5% (3.4k) of relevant job posts
Spark is a popular big data processing engine often run on EMR clusters.
mentioned alongside AWS EMR in 2% (5.7k) of relevant job posts
AWS Kinesis provides real-time data streaming capabilities, which can be used as a data source for EMR.
mentioned alongside AWS EMR in 4% (1.9k) of relevant job posts

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