Answer: The tools which are required to accomplish each step in the data management process are:
1. Cloud Data Management tools.
2. Master Data Management (MDM) tools.
3. Reference Data Management (RDM) tools.
4. ETL tools.
5. Data visualization and analytics tools
Explanation:
Cloud Data Management tools with the help of various API's are able to connect multiples system with their data to the cloud. examples are amazon cloud, google API cloud.
MDM tools are used for creation and maintenance of reference data. example are Profisee
RDM tools is used with the MDM tools and are use to define the businesss processes over the reference data. Examples are Collibra.
ETL tools helps to load data of an organisation to data warehouses after transformation and testing the data pipeline constituting the data from different databases.
Data visualization analytics tools helps to extract and generate report from the big sets of data which can help an organisation to take business decisions.
import random
def random_number_file_writer(nums):
f = open("random.txt", "w")
i = 0
while i < nums:
f.write(str(random.randint(1,500))+"\n")
i += 1
f.close()
def random_number_file_reader():
f = open("random.txt", "r")
total = 0
count = 0
for x in f.readlines():
total += int(x)
count += 1
print("The total of the numbers is "+str(total))
print("The number of random numbers read from the file is "+str(count))
def main():
random_number_file_writer(int(input("How many random numbers do you want to generate? ")))
random_number_file_reader()
main()
I hope this helps!
Answer:
1) 402.7 grams. This estimate is called the sample mean.
2) (399.11, 406.29)
3) The 99 percent confidence limits is between 399.11 grams and 406.29 grams.
I am 99% sure that the value lies between 399.11 grams and 406.29 grams.
Explanation:
sample size (n) = 40, the mean weight (x)= 402.7 grams and the standard deviation (σ)=8.8 grams
1) The point estimated mean weight of the population is 402.7 grams. This estimate is called the sample mean.
2) c = 99% = 0.99
α = 1 - 0.99 = 0.01
.
The z score of 0.005 corresponds with the z score of 0.495 (0.5 - 0.005).
.
The margin of error (e) = 
The confidence interval = x ± e = 402.7 ± 3.59 = (399.11, 406.29)
3) The 99 percent confidence limits is between 399.11 grams and 406.29 grams.
I am 99% sure that the value lies between 399.11 grams and 406.29 grams.
Answer:
Aggregate Function
.
Explanation:
The aggregate function returns the single value of the entire column of the database management system. The Aggregate Function is used in the SELECT statement and the GROUP BY clause.
The sum(),avg(), etc are some examples of Aggregate Function in the database with the help of aggregate function bobby gains the access to information above the usual clearance point. and summarizes the data.
