DAT 390 Wk 5 Discussion – Analytics Databases and Data Warehouses

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DAT 390 Wk 5 Discussion - Analytics Databases and Data Warehouses
DAT 390 Wk 5 Discussion – Analytics Databases and Data Warehouses
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DAT 390 Wk 5 Discussion – Analytics Databases and Data Warehouses

Post a total of 3 substantive responses over 2 separate days for full participation. This includes your initial post and 2 replies to classmates or your faculty member.

Due Thursday

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. In addition, explain to a non-IT professional the general process of assessing semi-structured data in relational DBMS.

Due Monday

Post 2 replies to classmates or your faculty member. Be constructive and professional.