introducing connected data and graph databases let' start by familiarizing ourselves with the concept of connected data and its representation as graph data connected data--as the name indicatesconnected data is characterized by the fact that the data at hand has relationship that makes it connected graphs--often referred to in the same sentence as connected data graphs are well suited to represent the connectivity of data in meaningful way graph databases--introduced in the reason this subject is meriting particular attention is becausebesides the fact that data is increasing in sizeit' also becoming more interconnected not much effort is needed to come up with well-known examples of connected data prominent example of data that takes network form is social media data social media allows us to share and exchange data in networksthereby generating great amount of connected data we can illustrate this with simple example let' assume we have two people in our datauser and user furthermorewe know the first name and the last name of user (first namepaul and last namebeunand user (first namejelme and last nameragnara natural way of representing this could be by drawing it out on whiteboardas shown in figure entitiesnodes knows user user namepaul last namebeun namejelme last nameragnar properties of paul relationship of type "knowsproperties of jelme figure simple connected data exampletwo entities or nodes (user user )each with properties (first namelast name)connected by relationship (knowsthe terminology of figure is described belowentities--we have two entities that represent people (user and user these entities have the properties "nameand "lastnameproperties--the properties are defined by key-value pairs from this graph we can also infer that user with the "nameproperty paul knows user with the "nameproperty jelme