A hands-on Hadoop Workshopwhich focuses on the application of Hadoop for solving a real world business problem involving Big Data.
"Recommendations" are a very common feature in many sites, whether it's for a product, service or content, and this workshop will delve into developing and deploying one.
The workshop will cover series of data mining algorithms implemented on Hadoop to solve recommendation problems. It will start with the cold start problem involving matching between user profile and products, followed by the warm start problem which is solved by finding similarities between products. These solutions are based on distance based algorithms in a multi dimensional feature space. Then it will cover a set of recommendation solutions based on social or user behavior data. It will include in the order of complexity, simple cosinr and jaccard similarity, slope one algorithms and finally collaborative filtering. The workshop will draw on actual implementation done by the instructor and be available as an open source project on github.
Knowledge of Java & Hadoop MapReduce.
Developers,Data Analytics professionals,Data architects,Managers.
5201 Great America Parkway, Suite 320,
Santa Clara, CA 95054
Big Data classes offered “group study “style, with dedicated clusters in hands-on labs, conducted by industry experienced gurus, with a “from-the-trenches’ approach.
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