Data science, also known as data-driven decision, is an interdisciplinery field about scientific methods, process and systems to extract knowledge from data in various forms, and take descision based on this knowledge. A data scientist should not only be evaluated only on his/her knowledge on mahine learning, but he/she should also have good expertise on statistics. I will try to start from very basics of data science and then slowly move to expert level. So let’s get started.
InfoQ has gathered a virtual panel of Enterprise Architects who have lived and implemented SOA for most of this decade to better understand what SOA means to IT in 2009.