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Assigned.  Make sure your answers are no longer than 3 lines per question in Calibri, Arial, or Times New Roman with only 12-point font.  Use this entire document and provide your answers...

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Assigned.
 Make sure your answers are no longer than 3 lines per question in Cali
i, Arial, or Times New Roman with only 12-point font.
 Use this entire document and provide your answers immediately underneath the questions.
 Answer the questions in your own words and do not cut-paste or directly quote from any source. Do not put citations or references in your answers.
RUBRIC for each question worth five points:
 (3 points) Technical concepts answered entirely co
ectly is worth three points. Answering with incomplete technical concepts and understanding is worth two points. Frivolous technical concept or answer is worth zero points.
(1) All co
ect spelling, punctuation, complete sentences, and grammar in your answer is worth one point. One mistake or more is worth zero points. Run-on sentences are worth zero points.
(0.5 points) The length of your answer is three lines or less is worth one-half point.
Not following any of the above ru
ic components may result in a grade of zero for the question.
1. (15 points) Relating only to a DDBMS, answer the following questions. You must follow the guidelines on the first page.
a. (5 points) What is horizontal fragmentation?
. (5 points) What is vertical fragmentation?
c. (5 points) What is hy
id fragmentation?
2. (10 points) You have learned about DDBMS, NoSQL DB, and Hadoop. Please answer the following questions. You must follow the guidelines on the first page.
d. (5 points) What are the two core concepts of Hadoop? Explain them.
e. (5 points) Why is YARN popular? - Describe why Hadoop 2 adopts YARN.
3. (10 points) Relating to NoSQL DB, answer the following questions. You must follow the guidelines on the first page.
f. (5 points) List the NoSQL DBs in the marketplace.
g. (5 points) What are the types of NoSQL databases?
4. (15 points) Relating to Redis, answer the following questions. You must follow the guidelines on the first page.
h. (5 points) What is the benefit of Redis over Memcached?
i. (5 points) What kind of NoSQL DB is Redis?
j. (5 points) Discuss Redis and which components of CAP it uses.
5. (15 points) HBase is a NoSQL DB. Please answer the following questions. You must follow the guidelines on the first page.
h. (5 points) What kind of NoSQL DB is HBase? Briefly explain.
i. (5 points) What is the relationship between HBase and Hadoop?
j. (5 points) Discuss HBase and which components of CAP it uses.
6. (15 points) Cassandra has been popular in the market. You must follow the guidelines on the first page.
a. (5 points) What kind of NoSQL DB is Cassandra? Briefly explain.
. (5 points) How CAP is handled in Cassandra?
c. (5 points) What is the difference between Cassandra and HBase?
7. (10 points) Please answer the following questions about Coachbase. You must follow the guidelines on the first page.
a. (5 points) What kind of NoSQL DB it is? Briefly explain.
. (5 points) Discuss Bucket and vBucket.
Note: this assignment will be submitted to Turnitin. Similarity index should be less than 10%
Answered Same Day Aug 04, 2021

Solution

Neha answered on Aug 07 2021
145 Votes
Horizontal fragmentation
The horizontal fragmentation can be defined as dividing the relations of rows into multiple fragments or subsets. Each of the fragment is stored at different node and have a unique room. The unique rose has the same column value. Each segment or subset is similar to the select statement in which where clause is applied on a single attribute.
Vertical fragmentation
The vertical fragmentation allows us to group together columns of the table into the form of fragments. Each fragment will have a primary key column with it which helps to maintain the reconstructiveness of the table. The vertical fragmentation is mainly used to keep the data private.
Hy
id fragmentation
When we combine Horizontal fragmentation and vertical fragmentation then it results in habits experimentation which is the most flexible technique as it is used to generate fragments you sing very minimal extraneous information. but this technique needs reconstruction of the original table which is an expensive task.
Core components of Hadoop
YARN is the one of the component of the Hadoop distributed processing framework which is used to schedule that job required in different applications and resource management.
The Hadoop mapreduce is another important component of the framework which is required for processing large amount of data on the computing cluster.
Why is YARN popular? - Describe why Hadoop 2 adopts YARN.
Yarn is an important aspect of the Hadoop setup which is used to manage the resources...
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