case studyassessing risk when loaning money accessible in dashboard toolthus enabling other people to explore it as well in sense this is the secondary goal of this caseopening up the data for self-service bi self-service business intelligence is often applied in data-driven organizations that don' have analysts to spare anyone in the organization can do the simple slicing and dicing themselves while leaving the more complicated analytics for the data scientist we can do this case study because the lending club makes anonymous data available about the existing loans by the end of this case studyyou'll create report similar to figure kpi bar charts selection pivot table figure the end result of this exercise is an explanatory dashboard to compare lending opportunity to similar opportunities first things firsthoweverlet' get ourselves data step data retrieval it' time to work with the hadoop file system (or hdfsfirst we'll send commands through the command line and then through the python scripting language with the help of the pywebhdfs package the hadoop file system is similar to normal file systemexcept that the files and folders are stored over multiple servers and you don' know the physical address of each file this is not unfamiliar if you've worked with tools such as dropbox or google drive the files you put on these drives are stored somewhere on server without you