Remove 2000 Remove Metrics Remove Optimization
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Amazon EMR 7.5 runtime for Apache Spark and Iceberg can run Spark workloads 3.6 times faster than Spark 3.5.3 and Iceberg 1.6.1

AWS Big Data

Amazon EMR on EC2 , Amazon EMR Serverless , Amazon EMR on Amazon EKS , Amazon EMR on AWS Outposts and AWS Glue all use the optimized runtimes. This is a further 32% increase from the optimizations shipped in Amazon EMR 7.1 The following table summarizes the metrics. Metric Amazon EMR 7.5 Metric Amazon EMR 7.5

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Amazon EMR Serverless observability, Part 1: Monitor Amazon EMR Serverless workers in near real time using Amazon CloudWatch

AWS Big Data

We have launched job worker metrics in Amazon CloudWatch for EMR Serverless. This feature allows you to monitor vCPUs, memory, ephemeral storage, and disk I/O allocation and usage metrics at an aggregate worker level for your Spark and Hive jobs. This post is part of a series about EMR Serverless observability.

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What transformational leaders too often overlook

CIO Business Intelligence

Executive recruiters working in the Global 2000 will tell you that the “hot ask” of organizations seeking high-end IT leaders today is for “transformational leaders.” Operations is really, really hard, and really, really underappreciated, and really, really poorly understood, until it doesn’t work.”

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Amazon EMR 7.1 runtime for Apache Spark and Iceberg can run Spark workloads 2.7 times faster than Apache Spark 3.5.1 and Iceberg 1.5.2

AWS Big Data

times faster with Amazon EMR runtime for Apache Spark , we detailed some of the optimizations, showing a runtime improvement of 4.5 However, many of the optimizations are geared towards DataSource V1, whereas Iceberg uses Spark DataSource V2. We have added eight new optimizations incrementally since the Amazon EMR 6.15

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How to Drive Sustainable, Data-First Business With HPE GreenLake

CIO Business Intelligence

The current state of IT operations misses the mark on sustainability objectives, in part because IT has historically been evaluated on other metrics. As we size HPE GreenLake, we’re looking at workloads and optimizing hardware so you can see significant space, power, carbon emission, and equipment reduction.”.

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Run Apache Spark 3.5.1 workloads 4.5 times faster with Amazon EMR runtime for Apache Spark

AWS Big Data

The Amazon EMR runtime for Apache Spark is a performance-optimized runtime that is 100% API compatible with open source Apache Spark. Amazon EMR on EC2 , Amazon EMR Serverless , Amazon EMR on Amazon EKS , and Amazon EMR on AWS Outposts all use this optimized runtime, which is 4.5 The cost metric can provide us with additional insights.

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How to Drive Sustainable, Data-First Business With HPE GreenLake

CIO Business Intelligence

The current state of IT operations misses the mark on sustainability objectives, in part because IT has historically been evaluated on other metrics. As we size HPE GreenLake, we’re looking at workloads and optimizing hardware so you can see significant space, power, carbon emission, and equipment reduction.”.