Cloud Supercomputing from AWS Powers Yelp
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27.08.14 – 1 8951:36Популярные
Опубликовано 27 августа 2014, 21:13
To learn more please visit: cloudinsights.com
Yelp can calculate 120 million statistics in 60 minutes.
Yelp provides local searches and recommendations to over 78 million visitors a month. To optimize the results users get, Yelp gleans insights from structured and unstructured data to adjust its products at both the tactical and strategic level.
Using Amazon Elastic MapReduce, the team is able to access a powerful Hadoop analytics service to navigate, experiment, and dive deep into their data. To build these big data models, Yelp uses Amazon Web Services instances, which feature the Intel® Xeon® processor E5 family. As they need to, any engineer at the company can quickly gain access to the machines they need to be able to process many terabytes of data at a time.
Yelp can calculate 120 million statistics in 60 minutes.
Yelp provides local searches and recommendations to over 78 million visitors a month. To optimize the results users get, Yelp gleans insights from structured and unstructured data to adjust its products at both the tactical and strategic level.
Using Amazon Elastic MapReduce, the team is able to access a powerful Hadoop analytics service to navigate, experiment, and dive deep into their data. To build these big data models, Yelp uses Amazon Web Services instances, which feature the Intel® Xeon® processor E5 family. As they need to, any engineer at the company can quickly gain access to the machines they need to be able to process many terabytes of data at a time.
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