Apache Hadoop, since its humble beginning as an execution engine for web crawler and building search indexes, has matured into a general purpose distributed application platform and data store. Large Scale Machine Learning (LSML) techniques and algorithms proved to be quite tricky for Hadoop to handle, ever since we started offering Hadoop as a service at Yahoo in 2006. In this talk, I will discus
![A Database-Hadoop Hybrid Approach to Scalable Machine Learning](https://cdn-ak-scissors.b.st-hatena.com/image/square/ae399fb6a2da2c62b4a6648493817cca6f0f04d4/height=288;version=1;width=512/https%3A%2F%2Fcdn.slidesharecdn.com%2Fss_thumbnails%2Fbigdata2013myui-130707103921-phpapp02-thumbnail.jpg%3Fwidth%3D640%26height%3D640%26fit%3Dbounds)