  To succeed in a Big Data strategy, you have to arm yourself with a wide range
of data skills and best practices. This strategy can result in an impressive
asset that can streamline operational costs, reduce time to market, and enable
the creation of new products. However, several Big Data challenges may take
place in enterprises when it comes to moving initiatives of boardroom
discussions to effective practices. From a broader perspective, we take on this
paper two very important challenges, namely modeling, and management. The main
context here is to highlight the importance of understanding data modeling and
knowing how to process complex data while supporting the characteristics of
each model.
