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1. For the ER diagram you created in assignment, the artefact of the conceptual database design, map the ER model into the relational model according to how it was designed in the ER diagram. You may however first refine your ER diagram if necessary. The actual assessment of this part is in the point below.
2. For all the relations that arise from this ("first-cut") ER diagram, list all those that are already in 3NF. If there are some relations that are not in 3NF yet, then convert them into 3NF with proper procedure and explanations.
3. Draw the global relation diagram for your final, revised, and normalised database design, and keep all the relevant details there. It should be in a similar form to Figure of the textbook, but all the attributes should be kept there too. Include in the diagram all the primary keys, foreign keys, and the multiplicity constraints. Identify and discuss the potential data redundancies or anomalies that may still exist in your design, if any.
State in brief about assertion Assertion: A statement which should be true at a designated point in a program.
Q. Describe the basic concept of binary search technique? Is it more efficient than the sequential search? Ans : The bin ary search technique:- This tec
Any binary search tree must contain following properties to be called as a red-black tree. 1. Each node of a tree should be either red or black. 2. The root node is always bl
Data array A has data series from 1,000,000 to 1 with step size 1, which is in perfect decreasing order. Data array B has data series from 1 to 1,000,000, which is in random order.
Abstract Data Types :- A useful tool for specifying the logical properties of a data type is the abstract data type or ADT. The term "abstract data type" refers to the basic mathem
Variable length codes (Niveau I) Code the following sequence of integers (2, 4, 2, 8, 3, 1, 4, 5, 13, 2) with • unary codes • ? codes • d codes • Rice codes (for a suitable l) and
Algorithm for deletion of any element from the circular queue: Step-1: If queue is empty then say "queue is empty" & quit; else continue Step-2: Delete the "front" element
hello, i need help in data mining assignment using sas em and crisp-dm
Midsquare Method :- this operates in 2 steps. In the first step the square of the key value K is taken. In the 2nd step, the hash value is obtained by deleting digits from ends of
1. Start 2. Get h 3. If h T=288.15+(h*-0.0065) 4. else if h T=216.65 5. else if h T=216.65+(h*0.001) 6. else if h T=228.65+(h*0.0028) 7. else if h T=270.65 8.
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