With the rapid development of data science and data mining algorithms, companies are able to know more about their clients, optimize their workflows, and understand each department's strengths and weaknesses.
However, the data should be extracted, transformed into a suitable format, and stored for further operations before the analysis. Just imagine that Netflix, for example, has about 60 petabytes of data in its warehouse that needs to be organized and processed. To cope with the high volume of information, companies use enterprise data warehouses.
In this post, we’re going to figure out what an enterprise data warehouse is, consider the components of a data warehouse, and how to build one for your business.
Full post - https://www.cleveroad.com/blog/enterprise-data-warehouse