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.

翻译：要成功实施大数据战略，您必须掌握广泛的数据技能和最佳实践。这一战略可转化为一项重要资产，有助于简化运营成本、缩短产品上市时间，并推动新产品创造。然而，企业在将高层讨论的举措转化为实际实践时，可能会面临若干大数据挑战。从更广阔的视角出发，本文探讨了两项非常重要的挑战，即建模与管理。主要目的在于强调理解数据建模及掌握处理复杂数据方法的重要性，同时支持每种模型的特征。