Answer:
The correct answer to the following question will be Metadata Management.
Explanation:
The management of data about the other data is known as Metadata Management. When the data is generated, updated, deleted, created, metadata is generated.
Benefits of Metadata management:
- To locate data for a person, the metadata management make it easier.
- Project delivery become faster.
- Maintain information of organization.
Hence, the Metadata Management will be the best suitable component which defined as the structure and meaning of business data.
Answer:
In Python:
N = int(input("Positive integer: "))
if N > 0:
flag = False
for i in range(1,N+1):
if i * i == N:
flag = True
break
print(str(flag))
else:
print("Positive integer only")
Explanation:
N = int(input("Positive integer: "))
If the number is positive
if N > 0:
This initializes a boolean variable to false
flag = False
This iterates from 1 to the input integer
for i in range(1,N+1):
This checks if th number is a square of some integer
if i * i == N:
If yes, flag is set to true
flag = True
The loop is exited
break
This prints either true or false, depending on the result of the loop
print(str(flag))
If otherwise, that the number is not positive
<em>else:</em>
<em> print("Positive integer only")</em>
The managed service should you use if you want to do a lift and shift of an existing Hadoop cluster without having to rewrite your Spark code is f G. Cloud's.
<h3>What is Lift and shift Hadoop clusters?</h3>
This is one where a person can migrate their existing Hadoop and Spark deployment so that they can use G. Cloud without having to engage in re-architecting.
The managed service should you use if you want to do a lift and shift of an existing Hadoop cluster without having to rewrite your Spark code is f G. Cloud's as it is advantage fast and flexible way to put together infrastructure as a service and others.
Learn more about managed service from
brainly.com/question/20495853
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