Twitter is a global real-time communications platform that processes many billions of events every day. Aggregating these events in real time presents a massive challenge of scale. Classic time-series applications include site traffic, service health, and user engagement monitoring; these are increasingly complemented by a range of analytics products and features such as Tweet activity, Followers,
Intro Predictive machine learning models are an important tool for many aspects of e-commerce. At Etsy, we use machine learning as a component in a diverse set of critical tasks. For instance, we use predictive machine learning models to estimate click rates of items so that we can present high quality and relevant items to potential buyers on the site. This estimation is particularly important
MapReduce is a programming model for processing large data sets, typically used to do distributed computing on clusters of commodity computers. With large amount of processing power at hand, it’s very tempting to solve problems by brute force. However, we often combine clever sampling techniques with the power of MapReduce to extend its utility. Consider the problem of finding all pairs of similar
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