The modern data warehouse

Microsoft, as well as many other service providers, have listed the concepts of the modern data warehouse as follows:

Here are some of the many features a modern data warehouse should have:

• Integration of relational as well as non-relational sources: The data warehouse should be able to ingest data that is not easily integrable in the traditional data warehouse, such as big data, non-relational crunched data, and so on.
• Hybrid deployment: The data warehouse should be able to extend the data warehouse from on-premises storage to the cloud.
• Advanced analytics: The data warehouse should be able to analyze the data from all kinds of datasets using different modern machine learning tools.
• In-database analytics: The data warehouse should be able to use Microsoft software that is integrated with some very powerful analytics open tools, such as R and Python, in its database. Also, with PolyBase integration, the data warehouse can integrate more data sources when it's based on SQL Server.