Data Warehouse and OLAP systems allow analyzing huge volumes of data represented according to the multidimensional model. In the era of Big Data, NoSQL systems have been proved to be an effective Business Intelligence solution. Some works recently study warehousing and OLAPing Big Data. (Un)Lucky these works exclusively investigate time performance related to the Volume and Velocity features of Big Data. Therefore, in this paper we investigate the impact of other Big Data features: Variety, Veracity and Value on warehousing and OLAP analysis. Then, we go beyond computation performance and we highlight new Big Data Warehouses design issues.