Amazon Elastic MapReduce News
May 03, 2017
Red Hat integrated Gluster storage with the OpenShift Container Platform on Amazon Web Services to provide consistent storage for on-premises and cloud application deployments.
February 15, 2017
Scientific researchers need robust big data architectures to solve the challenges of mining and analyzing genomic data, and some say the Apache Spark engine is well-suited for the job.
September 30, 2016
Users increasingly are eyeing the cloud for big data management and analytics applications, and IT vendors are moving to ease the process -- and the price -- of running Hadoop in the cloud.
April 13, 2016
Pivotal Software dropped out of the Hadoop distribution business in favor of reselling the Hortonworks version of the big data framework -- and the market consolidation moves may not be over.
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By doing big data analytics with Spark, CardinalCommerce ignited a demand for data throughout its organization and got more in-house users to engage with the analytics process. Continue Reading
We're running into authorization errors in Elastic MapReduce. How can we better manage our cloud permissions to avoid these errors? Continue Reading
Amazon Elastic MapReduce (EMR) is an Amazon Web Services (AWS) tool for big data processing and analysis. Continue Reading
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The Hadoop ecosystem is both a horn of plenty and a grab bag of data technology. This podcast sorts through some recent news of streaming technologies and Hadoop in the cloud. Continue Reading
Developers turn to Hadoop for big data workloads, and Spark is a particularly enticing Hadoop service on AWS. Spark teams up with Elastic MapReduce for fast processing and versatility. Continue Reading
With several vendor Hadoop distributions available, it's difficult to know which to select. This buyer's guide helps you choose the one that best meets your needs. Continue Reading
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Learn how to distribute large amounts of data to Amazon S3 using the Amazon EMR cluster. Continue Reading
MapReduce is a technique pioneered by Google for distributing applications across clusters of commodity hardware. It's gaining popularity for its ability to process massive log files. Continue Reading
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Hadoop remains an effective data analysis tool, but also comes with a bit of overhead. Here are the Hadoop as a Service tools available to you. Continue Reading
Either more vendors are offering ‘big data’ capabilities or they have creative marketing teams. Which PaaS provider’s big data cloud is the real deal? Continue Reading