What is the difference between Data Science, Data Analysis, Big Data, Data Analytics, Data Mining and Machine Learning?

Big Data implies huge data volumes that cannot be processed effectively with traditional applications. Big Data processing begins with raw data that is not aggregated and it is often impossible to store such data in the memory of a single computer. Machine learning (ML) is an artificial intelligence technique that is broadly used in Data Mining. ML uses a training dataset to build a model that can predict values of target variables, for example, future sales. Data Mining uses the predictive force of machine learning by applying various machine learning algorithms to Big Data. Data Analytics is all about automating insights into a dataset and supposes the usage of queries and data aggregation procedures.