Today‎,‎ the world is trying to create and educate data scientists because of the phenomenon of Big Data‎.‎ And everyone is looking deeply into this technology‎.‎ But no one is looking at the larger architectural picture of how Big Data needs to fit within the existing systems ‎(‎data warehousing systems‎)‎‎.‎ Taking a look at the larger picture into which Big Data fits gives the data scientist the necessary context for how pieces of the puzzle should fit together‎.‎ Most references on Big Data look at only one tiny part of a much larger whole‎.‎ Until data gathered can be put into an existing framework or architecture it can‎'‎t be used to its full potential‎.‎ Data Architecture a Primer for the Data Scientist addresses the larger architectural picture of how Big Data fits with the existing information infrastructure‎,‎ an essential topic for the data scientist‎.‎

Drawing upon years of practical experience and using numerous examples and an easy to understand framework‎.‎ W‎.‎H‎.‎ Inmon‎,‎ and Daniel Linstedt define the importance of da‎.‎‎.‎‎.‎