Normalization: The process used to minimize data redundancy and dependency in a relational database is known as normalization. The database table is divided into two or more tables and defines the relationship between those tables. If the modifications, deletion or updates occur in one table, the other tables in database get updated by just propagating it. In a relational database, the tables with no redundant data and less null values are considered as efficient table. This is because, having redundant data and more null values increases the storage space and wastage of memory is imminent. Null values cause a problem for data integrity and produces more error in the database. If the wasted storage space and null values which cause data integrity hazards are minimized, a highly optimized relational database can be designed. The project team should consider using normalization when designing the database, which is the best source to optimize data storage efficiently; this is because, it reduces the data storage space and provides data integrity. There are three types of normal forms. First normal form (1NF) Second normal form (2NF) Third normal form (3NF)

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: The Multithreaded Cook In this lab, we'll practice multithreading. Using Semaphores for synchronization, implement a multithreaded cook that performs the following recipe, with each task being contained in a single Thread: 1. Task 1: Cut onions. a. Waits for none. b. Signals Task 4 2. Task 2: Mince meat. a. Waits for none b. Signals Task 4 3. Task 3: Slice aubergines. a. Waits for none b. Signals Task 6 4. Task 4: Make sauce. a. Waits for Task 1, and 2 b. Signals Task 6 5. Task 5: Finished Bechamel. a. Waits for none b. Signals Task 7 6. Task 6: Layout the layers. a. Waits for Task 3, and 4 b. Signals Task 7 7. Task 7: Put Bechamel and Cheese. a. Waits for Task 5, and 6 b. Signals Task 9 8. Task 8: Turn on oven. a. Waits for none b. Signals Task 9 9. Task 9: Cook. a. Waits for Task 7, and 8 b. Signals none At the start of each task (once all Semaphores have been acquired), print out a string of the task you are starting, sleep for 2-11 seconds, then print out a string saying that you…

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Chapter 6, Problem 4RQ

Program Plan Intro

Normalization:

The process used to minimize data redundancy and dependency in a relational database is known as normalization.

The database table is divided into two or more tables and defines the relationship between those tables.

If the modifications, deletion or updates occur in one table, the other tables in database get updated by just propagating it.

In a relational database, the tables with no redundant data and less null values are considered as efficient table.

This is because, having redundant data and more null values increases the storage space and wastage of memory is imminent.

Null values cause a problem for data integrity and produces more error in the database.

If the wasted storage space and null values which cause data integrity hazards are minimized, a highly optimized relational database can be designed.

The project team should consider using normalization when designing the database, which is the best source to optimize data storage efficiently; this is because, it reduces the data storage space and provides data integrity.

There are three types of normal forms.

First normal form (1NF)

Second normal form (2NF)

Third normal form (3NF)

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