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IN STEP 1 GIVE THE INTRODUCTION OF THE CONCEPT AND GIVE ANSWER FOR EACH PART OF THE QUESTION IN EACH DIFFERENT STEP WITH CLEAR EXPLANATION AND IN THE FINAL STEP GIVE THE WHOLE FINAL ANSWER IN JUST VERY FEW SENTENCES AND MOREOVER I NEED COMPLETE AND CLEAR ANSWER at last explain what we did ineach step in just one sentenceQ4 [20 Marks] ‘We are given the following lattice containing nodes where each node corresponds to a possible query. The number associated with each query corresponds to the cost of answering this query. 2200 b 150 c170 d8o e100 £60 g A Dp 20 none 1 Assume that we do not consider “none 17. Suppose 4 views are to be materialized (other than the top view). Apply the greedy algorithm and find the resulting views.

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IN STEP 1 GIVE THE INTRODUCTION OF THE CONCEPT AND GIVE ANSWER FOR EACH PART OF THE QUESTION IN EACH DIFFERENT STEP WITH CLEAR EXPLANATION AND IN THE FINAL STEP GIVE THE WHOLE FINAL ANSWER IN JUST VERY FEW SENTENCES AND MOREOVER I NEED COMPLETE AND CLEAR ANSWER at last explain what we did ineach step in just one sentenceUploaded ImageQ4 [20 Marks] ‘We are given the following lattice containing nodes where each node corresponds to a possible query. The number associated with each query corresponds to the cost of answering this query. 2200 b 150 c170 d8o e100 £60 g A Dp 20 none 1 Assume that we do not consider “none 17. Suppose 4 views are to be materialized (other than the top view). Apply the greedy algorithm and find the resulting views.

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Asked by: Test User 100081
Created at: 2025-05-08 10:51:22

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Let's solve this step-by-step as requested. --- ### **STEP 1: Introduction to the Concept** **Concept Introduction:** This question deals with the **lattice of queries** in data warehousing, where each node represents a possible query and the associated number is the cost to answer that query. The task is to **materialize (store)** 4 views (nodes), other than the top view, such that the overall query cost is minimized. The **greedy algorithm** is used here, which at each step selects the view that gives the maximum reduction in total cost. --- ### **STEP 2: Understanding the Lattice** Here is the lattice structure and costs: - **Top node:** `a (200)` - Down to `b (150)` and `c (170)` - `b (150)` down to `d (80)` and `e (100)` - `c (170)` down to `e (100)` and `f (60)` - `d (80)` down to `g (50)` - `e (100)` down to `g (50)` and `h (20)` - `f (60)` down to `h (20)` - `g (50)` and `h (20)` down to `none (1)` (not to be considered) --- ### **STEP 3: Apply the Greedy Algorithm** #### **How the Greedy Algorithm Works:** - In each step, pick the view that gives the **maximum cost saving** if materialized. - We need to pick **4 views** (other than the top view `a`). #### **Step-by-step selection:** 1. **First Selection:** - Materializing the **lowest-cost views** (leaf nodes) usually gives the highest cost savings. - Candidate leaf nodes: `g (50)` and `h (20)` - **Materialize `h (20)`**: - Any query that can use `h` will now cost 20 instead of higher ancestors. - Queries affected: `h, f, e, c, a` 2. **Second Selection:** - Next best saving: **Materialize `g (50)`** - Queries affected: `g, d, e, b, a` 3. **Third Selection:** - Next, consider nodes like `d (80)`, `e (100)`, or `f (60)`. - **Materialize `f (60)`** (as it covers a chain not covered by `g` or `h`). - Queries affected: `f, c, a` (but `h` already covers `f` partially) 4. **Fourth Selection:** - Consider `d (80)` or `e (100)`. - **Materialize `d (80)`** (since `e` is already partially covered by `g` and `h`). - Queries affected: `d, b, a` **Selected Views:** `h (20)`, `g (50)`, `f (60)`, `d (80)` --- ### **STEP 4: Final Answer in a Few Sentences** **Final Answer:** By applying the greedy algorithm, the 4 views to be materialized are: **h (20), g (50), f (60), and d (80)**. These selections minimize the total cost of answering all queries by always choosing the view that provides the greatest immediate cost reduction. --- ### **STEP 5: Summary of Steps** - **Step 1:** Introduced the problem and greedy algorithm concept. - **Step 2:** Analyzed the query lattice and costs. - **Step 3:** Applied the greedy algorithm to select views step-by-step. - **Step 4:** Summarized the resulting optimal materialized views. - **Step 5:** Briefly recapped what was done in each step.

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