In the new word economy scenario, data has become the most valuable asset and the main driver after people for businesses. Facing the digital transformation, enterprises need to leverage humongous amount of heterogeneous data, known as Big Data, trying to profit from its hidden meanings and correlations. For this purpose, data from different sources such as databases, frameworks, sensors and social media must be stored in the most efficient way. In the past and some organizations currently, data warehouses are used to store Big Data. One of the major limitations of data warehouses lies in their data ingestion philosophy, based on an on-write schema; this means that data is organized and defined, and metadata is applied before the data is written and stored.