-We should follow data warehousing systems to collects fleet data for a comprehensive data like weight, height, activity of Trainer. Which can be used directly by means of a query language, or indirectly by means of data intelligence tools (e.g. data mining) to inform decision makers within an organisation. Because you would store 4000 studies records in a database which can cross 100 million sub records. Therefore it will be the best practices for large-scale data analytics and metrics at web to stay in safe. Pls confirm.
-Basic Block: the main features of any kind of workout log app (user profiles; provide basic data points in setting targets).
-Tracking and Nutrition Block: features that help users monitor their activeness and physiological parameters according to the activity and basic data points which they entered. Unites all the diet-related features (weight tracker; hydration measurement - if you suggest so).
All outcomes data should be feeded from backend, that will be represented in chart with description that allows users to visually inspect their progress. Here we can use any type of chart in app, such as bar chart, pie chart, line chart, scatter chart, Cherry chart, Area chart etc for plotting multiple variables. Pls suggest.
-Is there any need of Workout Block includes the features that are helpful during training sessions (running tools; exercise calendar; digital coach). So we can generate our own customise tools based on our own algorithm.