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Travka [436]
2 years ago
12

Big Data often involves a form of distributed storage and processing using Hadoop and MapReduce.

Computers and Technology
1 answer:
olya-2409 [2.1K]2 years ago
5 0

One reason for this is:  the processing power needed for the centralized model would overload a single computer.

<u>Explanation:</u>

Companies would be engrossed in achieving and examining the datasets because they can supplement significant value to the desicion making method. Such processing may include complicated workloads. Furthermore the difficulty is not simply to save and maintain the massive data, but also to investigate and extract a essential utilities from it.

Processing of Bigdata can consists of various operations depending on usage like culling, classification, indexing, highlighting, searching etc. MapReduce is a programming model used to process large dataset workloads. Hadoop is designed to scale up from single servers to thousands of machines, each offering local computation and storage.

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#Write a function called "replace_all" that accepts three #arguments: # # - target_string, a string in which to search. # - find
gulaghasi [49]

Answer:

Here is the function replace_all:

def replace_all(target_string,find_string,replace_string):

   result_string = replace_string.join(target_string.split(find_string))  

   return result_string

#if you want to see the working of this function then you can call this function using the following statements:

target_string = "In case I don't see ya, good afternoon, good evening, and good night!"

find_string = "good"

replace_string = "bad"

print(replace_all(target_string, find_string, replace_string)

Explanation:

The above program has a function called replace_all that accepts three arguments i.e target_string, a string in which to search ,find_string, a string to search for and replace_string, a string to use to replace every instance of the value of find_string. The function has the following statement:

replace_string.join(target_string.split(find_string))  

split() method in the above statement is splits or breaks the target_string in to a list of strings based on find_string. Here find_string is passed to split() method as a parameter which works as a separator. For example above:

target_string = In case I don't see ya, good afternoon, good evening, and good night!

find_string = good

After using target_string.split(find_string) we get:

["In case I don't see ya, ", ' afternoon, ', ' evening, and ', ' night']

Next join() method is used to return a string concatenated with the elements of target_string.split(find_string). Here join takes the list ["In case I don't see ya, ", ' afternoon, ', ' evening, and ', ' night'] as parameter and joins elements of this list by 'bad'.

replace_string = bad

After using replace_string.join(target_string.split(find_string))  we get:

In case I don't see ya, bad afternoon, bad evening, and bad night!  

The program and output is attached as a screenshot.

7 0
2 years ago
Which of the following facts determines how often a nonroot bridge or switch sends an 802.1D STP Hello BPDU message?
irinina [24]

Answer:

b. The Hello timer as configured on the root switch.

Explanation:

There are differrent timers in a switch. The root switch is the only forwarding switch in a network, while non root switches blocks traffic to  prevent looping of BPDUs in the network. Since the root switch is the only forwarding switch, all timing configuration comes from or is based on the configuration in the root.

The hello timer is no exception as the nonroot switch only sends 802.1D DTP hello BPDU messages forwarded to it by the root switch and its frequency depends on the root switch hello timer.

8 0
2 years ago
Given three dictionaries, associated with the variables, canadian_capitals, mexican_capitals, and us_capitals, that map province
Nookie1986 [14]

Answer:

The Python code to combine the three dictionaries are is given as follows:

  1. canadian_capital = {
  2.    cash: "SOME VALUES",
  3.    assets: "SOME VALUES"
  4. }
  5. mexican_capital = {
  6.    cash: "SOME VALUES",
  7.    assets: "SOME VALUES"
  8. }
  9. us_capital = {
  10.    cash: "SOME VALUES",
  11.    assets: "SOME VALUES"
  12. }
  13. nafta_capital = {
  14.    canadian: canadian_capital,
  15.    mexican : mexican_capital,
  16.    us: us_capital
  17. }

Explanation:

<u>Line 1 - 14 :</u>

Create three Python dictionaries and name them as <em>canadian_capitals, mexican_capital </em>and<em> us_capitals</em>. Please note a Python dictionaries should be enclosed in curly braces { }.  

We just define two samples of relevant keys (<em>cash </em>and <em>asset</em>) in each of the dictionaries. Python dictionary can map a key to a value.

Since we are not given any capital values from the question,  a dummy string "<em>SOME VALUES</em>" is tentatively set as the value for each of the keys.

In practice, we should replace those dummy strings with the real values of capital. The values can be a number, a string, a list and even a nested dictionary.

<u>Line 16 - 20 : </u>

Create one more Python dictionary and name it as <em>nafta_capital</em>.

Since our aim is to combine the three previous dictionaries (<em>canadian_capitals, mexican_capital </em>and <em>us_capitals</em>) and associate it with <em>nafta_capital</em>, we can define three different keys (<em>canadian, mexican </em>and <em>us</em>) in our dictionary nafta_capital.

As mentioned, a value associated with a key can be a nested dictionary. Hence, we just map <em>canadian_capitals, mexican_capital </em>and <em>us_capitals</em> as the value of the keys (<em>canadian, mexican </em>and<em> us</em>) in dictionary<em> nafta_capital,</em> respectively,

By doing so, we have managed to combine three target dictionaries (<em>canadian_capitals, mexican_capital </em>and <em>us_capitals</em> ) into a single dictionary, <em>nafta_capital</em>.

4 0
2 years ago
A user requests an unencrypted webpage from a web server running on a computer, listening on the Internet Protocol address 10.1.
Minchanka [31]

Answer:

10.1.1.150:80

Explanation:

Socket address is the combination of an IP address and port number.

HTTP is what most unencrypted webpage use, instead of HTTPS which is the encrypted version of HTTP.

By default, webserver using Hypertext Transfer Protocol (HTTP) uses a standard port known as port 80.

The Socket address which is the combination of the IP address and standard port number will be something like this:

10.1.1.150:80

3 0
2 years ago
Which XXX and YYY correctly output the smallest values? Vector user Vals contains integers (which may be positive or negative).
liubo4ka [24]

Answer:

The answer is "minVal - userVals.at(0); /userVals.at(i) < minVal  "

Explanation:

In the question, it uses minVal instead of XXX to hold the very first arra(userVal) element, and rather than YYY you choose a conditional statement to check which integer is lower than minVal to index of loop increment. It changes the value of the minVal if the condition is valid. It's completely different if we talk about another situation.

3 0
1 year ago
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