Process Petabytes of Data in Amazon EMR using Big Data Frameworks like Apache Spark

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Astro + Amazon EMR

Run big data pipelines in Amazon EMR with Astro, the modern data orchestration platform powered by Apache Airflow. Astro’s AWS provider offers seamless integration with AWS EMR, no matter which open-source big data framework you choose. Leverage asynchronous EMR sensors from the Astronomer provider to dynamically schedule your data pipelines in Astro.

Amazon EMR

About Amazon EMR

AWS EMR is a managed cluster platform to run and scale big data workloads in a variety of open source frameworks such as Apache Spark, Hive, and Presto. Use Amazon EMR to run your compute-intensive Astro tasks handling petabytes of data for data analytics, processing, and machine learning.


Use Case

Gaining insights from large amounts of data using distributed machine learning is a common use case for orchestrating jobs in Amazon EMR using Astro. With Astro’s support for asynchronous EMR modules, you’ll get cost savings on orchestration and processing when running jobs on big data.

See Astro in Action: Get a demo that’s customized around your unique data orchestration workflows and pain points.

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