The huge data is always growing up nowadays, the challenge is not only Volume but also Variety and Velocity. Multiple sources data must be handled by the system including in the phase of collecting and transforming before taking by the phase analytics. We will use like Hadoop, Hive, Pig, Kafka, Sqoop, and etc

The billion of data is not having meaning if we can not explore anything. Therefore, we will learn how to get the useful hidden information of data. The common process of data mining well known of four major tasks that are Preprocessing, Feature Engineering, Model Building (Machine Learning), Evaluation and Testing.

Inspired from the structure and how the human brain works, McMulloh and Pitts in 1943 proposed a mathematical model called a perceptron. In the last 20 years, Artificial Intelligence developed in domain area that are Expert System, Computer Vision, Natural Language Processing, Robotics and Navigation Games, and Theorem Proving. Even the development of the algorithm tends to the behaviour of an animal.