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sergejj [24]
2 years ago
15

The effectiveness of a(n) _____ process is essential to ensure the success of a data warehouse. Select one: a. visual basic b. e

xtract-transform-load c. chamfering d. actuating
Computers and Technology
2 answers:
Greeley [361]2 years ago
4 0

Answer:

B. Extract-transform-load

Explanation:

Extract, transform, load (ETL) and Extract, load, transform (E-LT) are the two main approaches used to ensure the success of a data warehouse system.

An extract-transform-load (ETL) process is used to pull data from disparate data sources to populate and maintain the data warehouse. An effective extract-transform-load (ETL) process is essential to ensure data warehouse success.

Option A (Visual Basic) is an example of programming language.

Levart [38]2 years ago
4 0

Answer:

b. extract-transform-load

Explanation:

A data warehouse is a repository of data gathered from other data sources, to provide a medium of central data streaming for data analysis and reporting purposes. It hold data from multiple source, where the data are extracted, transformed and loaded to the data warehouse.

ETL or extract-transform-load is very important for the successful implementation of data warehousing

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Write a program that repeatedly reads in integers until a negative integer is read. The program keeps track of the largest integ
vfiekz [6]

Answer:

In Python:

num = int(input("Enter number: "))

maxn = num

while num >=0:

   if num>maxn:

       maxn = num

   num = int(input("Enter number: "))

print("Largest: "+str(maxn))

Explanation:

Get input from the user

num = int(input("Enter number: "))

Initialize the largest to the first input

maxn = num

This loop is repeated until a negative input is recorded

while num >=0:

If the current input is greater than the previous largest

   if num>maxn:

Set largest to the current input

       maxn = num

Get another input from the user

   num = int(input("Enter number: "))

Print the largest

print("Largest: "+str(maxn))

5 0
2 years ago
A process is moved to wait queue when I/O request is made with:_______ A. non-blocking I/O B. blocking I/O C. asynchronous I/O D
Sidana [21]

Answer:

B. blocking I/O

Explanation:

           Most of the input and output request placed  to the computer considers the blocking request. It means that the controls given cannot be returned to the given application until and unless the input/output is complete.

           Thus, blocking the input/output does not return till the input and output is complete.

            With a blocking I/O, the process is moved to a wait queue when the I/O request is made, and it moved backs to the ready queue as soon as the request is complete, thereby allowing the other processes to run in the meantime.

Thus (B) blocking I/O is the answer.

7 0
2 years ago
IDaaS is a ________-based identity and access management offering.
Andre45 [30]

Answer:

c) SaaS

Explanation:

Identity as a Service is a company that provides authentication to access the data or resources to the ensured user. They provide access to the ensured users and helps in securing the data from any unauthorized involvement. The process of authentication is cloud-based and is available only for the subscribed users.

8 0
2 years ago
Int side1;
o-na [289]

Answer:

int width_A, width_B, len_A, len_B;

float rw, rl;

rw = (float)(width_A/width_B);

rl = (float)(len_A/len_B);

if(rw == rl)

printf("They are similar");

else

printf("They are not similar");

Explanation:

The width of the first triangle i call width_A.

The width of the second triangle i call width_B.

The length of the first triangle i call len_A.

The length of the second triangle i call len_B.

The ratio of the width i call rw.

The ratio of the length i call rl.

If rw=rl, the retangles are similar. Otherwise, they are not.

The code is:

int width_A, width_B, len_A, len_B;

float rw, rl;

rw = (float)(width_A/width_B);

rl = (float)(len_A/len_B);

if(rw == rl)

printf("They are similar");

else

printf("They are not similar");

8 0
2 years ago
Moore’s Law is said to be more of a trend, rather than a representation of the actual number of transistors on a silicon chip. W
inna [77]

Answer:

Moores Law is defined to be the computer law which defines that the number of transistors on the integrated circuits will double time to time such as in an interval of 2 years. Moore's Law was coined by Intel employee, Gordon Moore.Moore's law is the observation that the number of transistors in a dense integrated circuit doubles about every two years. ... Moore's law describes a driving force of technological and social change, productivity, and economic growth.

Explanation:

Moore's Law is named after Intel cofounder Gordon Moore. He observed in 1965 that transistors were shrinking so fast that every year twice as many could fit onto a chip, and in 1975 adjusted the pace to a doubling every two years. ... Intel has suggested silicon transistors can only keep shrinking for another five years.Moore's law is the observation that the number of transistors in a dense integrated circuit doubles about every two years. ... Moore's law describes a driving force of technological and social change, productivity, and economic growth.Moore's law is the observation that the number of transistors in a dense integrated circuit doubles about every two years. ... Moore's law describes a driving force of technological and social change, productivity, and economic growth. Moore's law is an observation and projection of a historical trend.Moore's law is the observation that the number of transistors in a dense integrated circuit doubles about every two years. The observation is named after Gordon Moore, the co-founder of Fairchild Semiconductor and CEO of Intel, whose 1965 paper described a doubling every year in the number of components per integrated circuit,[2] and projected this rate of growth would continue for at least another decade.[3] In 1975,[4] looking forward to the next decade,[5] he revised the forecast to doubling every two years, a compound annual growth rate (CAGR) of 40%.[6][7][8]

The doubling period is often misquoted as 18 months because of a prediction by Moore's colleague, Intel executive David House. In 1975, House noted that Moore's revised law of doubling transistor count every 2 years in turn implied that computer chip performance would roughly double every 18 months (with no increase in power consumption).[9] Moore's law is closely related to MOSFET scaling, also known as Dennard scaling,[10] as the rapid scaling and miniaturization of silicon MOSFETs (metal-oxide-semiconductor field-effect transistors, or MOS transistors)[11][12] is the key driving force behind Moore's law.[10][13]

Moore's prediction proved accurate for several decades and has been used in the semiconductor industry to guide long-term planning and to set targets for research and development (R&D).[14] Advancements in digital electronics are strongly linked to Moore's law: quality-adjusted microprocessor prices,[15] memory capacity (RAM and flash), sensors, and even the number and size of pixels in digital cameras.[16] Digital electronics has contributed to world economic growth in the late twentieth and early twenty-first centuries.[17] Moore's law describes a driving force of technological and social change, productivity, and economic growth.[18][19][20][21]

Moore's law is an observation and projection of a historical trend. It is an empirical relationship and not a physical or natural law. Although the rate held steady from 1975 until around 2012, the rate was faster during the first decade. In general, it is not logically sound to extrapolate from the historical growth rate into the indefinite future. For example, the 2010 update to the International Technology Roadmap for Semiconductors predicted that growth would slow around 2013,[22] and in 2015, Gordon Moore foresaw that the rate of progress would reach saturation: "I see Moore's law dying here in the next decade or so."[23]

Microprocessor architects report that semiconductor advancement has slowed industry-wide since around 2010, below the pace predicted by Moore's law.[24] Brian Krzanich, the former CEO of Intel, announced, "Our cadence today is closer to two and a half years than two."[25] Intel stated in 2015 that improvements in device have slowed, starting at the 22 nm feature width around 2012, and continuing at 14 nm.[26] Krzanich cited Moore's 1975 revision as a precedent for the current deceleration, which results from technical challenges and is "a natural part of the history of Moore's law".[27][28][29] Leading semiconductor manufacturers, TSMC and Samsung Electronics, have the 10 nm and 7 nm nodes in

4 0
2 years ago
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