Explain the key differences between an analytics database and a data warehouse and how those differences affect your selection of business intelligence tools and data analysis processes.

IT professionals work with many non-IT business partners whose understanding and support are critical to ensuring that IT strategies are implemented and goals are attained.
Imagine you are working with a non-IT partner who does not understand the differences between an analytics database and a data warehouse; nor does your partner understand the effect that the differences have on how you approach data analytics.
Respond to the following in a minimum of 175 words:
Explain the key differences between an analytics database and a data warehouse and how those differences affect your selection of business intelligence tools and data analysis processes. Additionally, explain to a non-IT professional the general process of assessing semi-structured data in relational DBMS.

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