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Question 1: Summarize the data from your SQL query for question five above in whatever manner you think does the best job of presenting the data. Please see data below
For each question below, provide the following
The SQL Statement that you used to answer the questionThe first three lines of output resulting from running your queryA 2-3 sentence justification for why a modern health organization would care about answering this question.HINT: All of the questions below can be answered using the SELECT, COUNT, FROM, WHERE and GROUP BY commands, all of which are discussed at length in the documentation linked above. Each question will only involve ONE select statement querying data from ONE table. Any questions about what data resides in each table or label codes can be answered using the "Summary of the MIMIC 3 database" slide presentation above.
Create a select statement using the ADMISSIONS table that will provide some demographic information on the patient admitted to the hospital. Your statement could include things like their religion, their marital status, the type of admission etc. The choice is up to you but try to select things that you think could be potentially beneficial to better understanding the hospital population.
Design a dimensional model for analysing Purchases for Adventure Works Cycles and implement it as cubes using SQL Server Analysis Services. The AdventureWorks OLTP sample database is the data source for you BI analysis.
Design a Database schema
Create an entity-relationship diagram and design accompanying table layout using sound relational modeling practices and concepts.
Implement a database of courses and students for a school.
Energy in the home, personal energy use and home energy efficiency and Efficient use of ‘waste' heat and renewable heat sources
Design relation schemas for the entire database.
Prepare the relational schema for database
Data Modeling and Normalization
Use Cases Perform a requirements analysis for the Case Study
Knowledge and Data Warehousing
Identify and explain the differences between a stack and a queue data structure
Practice on topic of Normalization
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