Exercise 11. What does linearization mean, in the case of multidimensional storage?2. Explain why dimension order is important when storing multidimensional data in a linearized array.Exercise 2Considering the R-Tree graphically represented through the MBR with a maximal node size of 3, in Annex 1, perform the following tasks:a. Insert, in this order the following data (each of them will be represented as the small red squares): (“08 Qtr2”, “b”), (“08 Qtr2”, “c”), (“09 Qtr1”, “c”). Represent each step graphically, evidencing the produced split. As split method use the linear cost algorithm and as heuristics, the least enlargement criterion.b. Draw the R-Tree according to the obtained graphical representation of the MBR, after performing exercise 2.a.c. Graphically represent (as in the lecture) the following search ([08 Qtr 2, 08 Qtr 3], [a,c]) on both the MBR representation obtained from exercise 2.a, as well as on the R-Tree representation obtained from 2.b.Exercise 31. UB-Trees:a. What is an UB-Tree and why does it use a Z-curve?b. How big should Z-Regions be and why?c. What mechanism can we use to allow hierarchy restrictions and still obtain good performance with UB-Tree based indexes, and how does it work?2. Bitmap indexes:a. What is a multi-component bitmap index and why is it useful?b. What is the idea behind range-encoded bitmap indexes and why are they useful?   

Are you looking for a similar paper or any other quality academic essay? Then look no further. Our research paper writing service is what you require. Our team of experienced writers is on standby to deliver to you an original paper as per your specified instructions with zero plagiarism guaranteed. This is the perfect way you can prepare your own unique academic paper and score the grades you deserve.

Use the order calculator below and get started! Contact our live support team for any assistance or inquiry.