Q5. Consider the following relations: hiker(HN,Name), moutain(MN,Height), climbed(HN,MN,Date). Provide safe Datalog rules (with negation if necessary) for the following queries. (a) Find the names of hikers who climbed some mountains with Height > 5000m. (b) Find the names of hikers who never climbed mountains with Height > 5000m. (c) Find the names of hikers who climbed every mountain with Height > 5000m.

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A: Introduction : A SQL query is given here,we have to find out ,what will be returned by this query.

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Q: Consider the following relational schema and answer the following questions. Employee (Employee_Id,…

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Q: Given the following relations, write an SQLite query with JOIN keyword to retrieve the full name of…

A: As per the question statement, We need to write Sqlite query for the requirement.

Q: STUDENT Grade Semester Year Student ID Name Address -Registers for Major Note: Assume Instructor…

A:

Q: The degree is the number of tuples in a relation. Select one: a. False b. True

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Q: Write the following queries in relational algebra, using the university schema. a. Find the ID and…

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Q: Note that primary keys are in BOLD. Note also that attributes with the same name in different tables…

A: Solution:   2.3)   Treatment table before increment by 2.5 % in costOfTreatment :

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A: Dear Student, The required queries with explanation is given below -

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Q: Consider the following relational schema and answer the following questions. Employee (Employee_Id,…

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Q: The table STUDENT has the attributes STUDENT_ID, NAME, SCHOOL_ID, and ADDR. The table SCHOOL has the…

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Q: Explain the relationship between EXISTS and correlated subqueries.

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Q: Consider the following relational schema and answer the following questions. Employee (Employee_Id,…

A: The SQL query is given below for the above given question:

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Normalization

Normalization is the process of eliminating redundancy in a database by organizing the data into several smaller tables. The large tables are normalized (converted) into smaller tables by using normalization rules, so that a database administrator can easily handle them. It also eliminates insertion, deletion, and update anomalies.