Case Study: Cloud Supercomputing from AWS Powers Yelp
"The big thing we’re looking for is to get instant flexible stats on metrics related to engagement and usage. Then gaining the ability to, in real time, interactively play with different features to see how tweaking functionality or algorithms affects our business.”
—Jim Blomo, Engineering Manager, Yelp
Yelp Inc. is a data-driven company. From the early start-up days, through stellar growth and a successful IPO, the collection and analysis of data has played a central role for the San Francisco–based team. Their fine-grained insight into data enables them to identify new business opportunities, release new features, and evaluate the results. This flexibility and responsiveness to changing market conditions has been a key to their success.
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.
For example, Yelp engineers routinely process 120 million unstructured site statistics a day to fine–tune their search ranking algorithms and deliver the most relevant results to their customers. Additionally, analyzing access logs allows Yelp to quickly identify new business opportunities, such as the growth in usage of mobile applications, and reallocate resources internally to build out engaging, innovative features for mobile customers.
To build these big data models, Yelp uses Amazon Web Services, which is built on 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.
Using Amazon Elastic MapReduce, the team is able to access a powerful Hadoop* analytics service to navigate, experiment, and dive deep into their data. This freedom to innovate has resulted in some impressive gains. One such experiment resulted in click-through rates on searches increasing by 8 percent overnight, providing a more responsive, engaging experience for their users.
With access to simple, cost-effective supercomputing in the cloud, Yelp always has the power it needs to crunch the data and develop innovative new features for customers and business owners.

