Tools I categorised based on following taxonomy based on what they do. Note there are tools for streaming (a.k.a. realtime) analytics as well as for store and processing.
Also I categorised Analysis techniques, or in other words making sense of data, based on what they are used to achieve into three sub topics based on the goals.
- To know what happend – this is basic analytics
- To explain what happend – this is detecting patterns. e.g. data mining.
- To forecast what will happen – this is forecasting models e.g. regression, numerical modes (e.g. weather models that use simulation) and other machine learning algorithms etc.
Following is the slidedeck I used, and please check it out for more information.