In this section, we will discuss the general flow and components that are required for Big Data Machine Learning. Although many of the components, such as data acquisition or storage, are not directly related to Machine Learning methodologies, they inevitably have an impact on the frameworks and processes. Giving a complete catalog of the available components and tools is beyond the scope of this book, but we will discuss the general responsibilities of the tasks involved and give some information on the techniques and tools available to accomplish them.
The general Big Data framework is illustrated in the following figure:
The choice of how the Big Data framework