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Yahoo! Developer Network:Introduction to data processing with Hadoop and Pig
Introduction to data processing with Hadoop and Pig
Apache Hadoop is an open source Java software framework for running data-intensive applications on large clusters of commodity hardware, which is heavily invested in and used by Yahoo. Pig is a platform on top of Hadoop that includes a high-level language for expressing data analysis programs in a simple manner. Hadoop and Pig are used in Yahoo for different tasks, from helping create the various indexes for web search to multi-language entity recognition, handling levels of petabytes of info and tens of thousands of jobs per week.

This talk is an introduction to the MapReduce model, Hadoop and Pig and how you can leverage them to process big data with a small cost.

The slides are available from http://www.slideshare.net/phobeo/introduction-to-data-processing-using-hadoop-and-pig

ABOUT RICARDO VARELA
Ricardo Varela joined Yahoo! in 2007. He and his team are responsible for Yahoo!¹s mobile product development, working to provide Yahoo!¹s community of users with the best possible mobile first experience.
More about Ricardo Varela

ABOUT THE YAHOO! DEVELOPER NETWORK
The Yahoo! Developer Network offers Web Services and APIs that make it easy for developers to build applications and mashups. Yahoo! APIs let developers tap into Yahoo!'s world-class data and infrastructure to help power their businesses and integrate data sources in new ways, making the web a more useful and interesting place for everyone.
More about the Yahoo! Developer Network
PODCAST INTRODUCTION TO DATA PROCESSING WITH HADOOP AND PIG
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