No kidding. The amount of startups that have flocked to hadoop for "data analytics" over the past 5 years is extremely disheartening. Almost all of the cases are far more suitable for any off-the-shelf RDBMS much less a column-oriented one. Same thing with MongoDB.
How much time and money would have been saved learning Database Theory/SQL/Data Warehousing/Dimensional Modeling instead of cramming everything into an unstructured data-store?
How much time and money would have been saved learning Database Theory/SQL/Data Warehousing/Dimensional Modeling instead of cramming everything into an unstructured data-store?