B B B B D D D D " e o + ↓ Dimensional view of data sources OLAP for analytics ⑧ ⑳ ........ Application E Application Queries cube Queries $ - $ - Alex * Two table may By 33 ⑰ ⑰ & I ⑳ - N - ⑧ ⑧ * Data is stored ⑳ ph ⑧ like a map of ⑧ ↑ ⑧ DB & ↑ y - key to values N * Data and its ↓ < - relationship is - -> edges · · ⑳ ⑧ ⑧ · ⑱ ⑦ ↳ ↳ · ⑱ ⑧ ⑦ ⑲ ⑱ ⑱ ⑳ & -> fast searches stored as node 8 W A great for - > · . . . k3 14 ⑰ ? ⑳ ⑦ ⑦ - D · Great en a e I ⑧ ⑧ ⑧ 1 - I ⑧ Oriented D B A Data is ⑧ Directory -> stored in cole ee ⑳ ment Relational structured ry Language - ll , ⑰ ⑱ ⑮ ⑮ ⑰ ⑧ a * Data models in high ↳ thod level languages are stored --- hod M as object i 0M translate objects from high level language I has Method W * Each object has 0 R : Object Relational mapping - A Framewor to I is to tables in Relational DB ⑱ ⑱ ⑱ ⑱ ⑱ ⑧ : ⑦ @ ⑱ ⑱ ⑱ ⑱ data method related to I d -> b ⑧ ! ⑧ ! that data ⑧ ! many ⑧ ! I ↓ - ↓ I Data W Data ↓ - ⑱ e hod od thod M thod thodd ↑ Method b · W ect Oriented DB ⑰ ⑱ ⑳ ⑳ ⑳ ⑮ ⑰ ↳ ⑳ * objects may have relations i Data ! between them ⑨ ! rho ⑳ tod ⑳ tod · - - - - - - - - -