英語 での Elastic mapreduce の使用例とその 日本語 への翻訳
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Amazon Elastic MapReduce Ruby client for cluster setup.
Amazon has reduced the prices for Elastic MapReduce by 27% to 61%.
Mortar uses Elastic MapReduce to power Hadoop execution at scale.
We're providing three distinct access routes to Elastic MapReduce.
Please visit the Amazon Elastic MapReduce pricing page for more details.
For example, arrange to copy log files from a cluster of Amazon EC2 instances to an S3 bucket every day,and then launch a massively parallel data analysis job on an Elastic MapReduce cluster once a week.
Yelp also uses s3cmd and the Ruby Elastic MapReduce utility for monitoring.
Amazon Elastic MapReduce pricing is on top of existing EC2 charges at the rate of 15%.
Amazon DynamoDB also integrates with Amazon Elastic MapReduce(Amazon EMR).
Amazon Elastic MapReduce makes it easy to quickly and cost-effectively process vast amounts of data.
Amazon has reduced the prices for Elastic MapReduce by 27% to 61%.
Amazon Elastic MapReduce(Amazon EMR) is a web service that makes it easy to quickly and cost-effectively process vast amounts of data.
Processing tasks can run on EC2 instances, Elastic MapReduce clusters, or physical hardware.
Using Amazon Elastic MapReduce Yelp was able to save $55,000 in upfront hardware costs and get up and running in a matter of days not months.
In addition,we are pleased to announce an over 18% reduction in Amazon Elastic MapReduce pricing for cc1.4xlarge instances, dropping the total per hour cost to $1.57.
Amazon Elastic MapReduce(EMR)- EMR enables businesses, data analysts, researchers, and developers in processing huge amount of data easily and cheaply.
Amazon Web Services(AWS) has updated its Elastic MapReduce console, making it easier to manage large amounts of data.
Amazon Elastic MapReduce is a web service that enables businesses, researchers, data analysts, and developers to easily and cost-effectively process vast amounts of data.
By leveraging on-demand services such as Amazon Elastic MapReduce, Razorfish is able to drop their processing time to eight hours.
In other words, you simply set up the export(either one-shot or every day, at a time that you choose) or import(one-shot) operation,and the combination of AWS Data Pipeline and Elastic MapReduce will take care of the rest.
The company runs the Amazon Elastic MapReduce(EMR) service on Amazon EC2 Spot Instances to help them process huge amounts of data.
Newcomers like Snowflake are rethinking the delivery of databases,while hosted solutions like Amazon Elastic MapReduce have extended the capabilities of traditional Hadoop ecosystems.
The company is also using Amazon Elastic MapReduce(Amazon EMR) for large-scale data analysis that can require more than 1 million writes per second.
Amazon Elastic MapReduce automatically spins up a Hadoop implementation of the MapReduce framework on Amazon EC2 instances, sub-dividing the data in a job flow into smaller chunks so that they can be processed(the“map” function) in parallel, and eventually recombining the processed data into the final solution(the“reduce” function).
Whereas it recently ran its own Hadoop instances on Amazon EC2, it now uses Amazon Elastic MapReduce(Amazon EMR) to provide a managed Hadoop framework before passing the data into its data warehouse service running on top of Amazon EC2 instances.
ElastiCache cache nodes will get 34% cheaper and Elastic MapReduce will seeprice cuts between 27 percent and 61 percent(that's in addition to the EC2 price cuts).