Elan inserted shapes into a slide in his presentation. What is the quickest way to format those shapes?

Assume that scotus is a two-dimensional character array that stores the family names (last names) of the nine justices on the Su

dangina [55]

Answer:

for (int i = 0; i < 9; ++i) {

int k = 0;

while (k < 20 && scotus[i][k] != '') {

cout << scotus[i][k];

k++; }

cout << "\n"; }

Explanation:

scotus here is a two dimensional array. It contains names of 9 justices. so the loop starts from 0 and ends when i points to the last name element in the array. Then a while loop is used to check that name is longer than twenty characters and will keep on printing each output on the separate line.

Another way to write this:

for (int i = 0; i < 9; i++){

cout << scotus[i] << "\n"; }

This loop will keep on executing and printing the names of the nine justices at every iteration until it reaches the end of the array (last element of the array scotus).

5 0

3 years ago

Colby has a presentation with steps demonstrating how to make his famous cheesecake. He would like to post this on his new websi

lesantik [10]

I think a video to post to your website would be very good

3 0

4 years ago

What is the value of six sigma ? How dose it relate to agile management

Genrish500 [490]

For an agile team, Six Sigma would provide them with a structured approach for empirical problem solving.

8 0

2 years ago

The volumes of data collected by contemporary organizations are so huge that they are beyond the ability of typical DBMS to capt

lys-0071 [83]

Answer:

Some of the new technologies developed to handle the big data are as follows:

1. In-memory Databases

2. Blockchain

3. NoSQL Databases

4. Edge Computing

5. Streaming Analytics.

6. Artificial Intelligence

Explanation:

Some of the new technologies developed to handle the big data are explained as follows:

1. In-memory Databases: This allows for rapid and easy access to data and analytics, which can be used to inform a variety of business choices. In-memory computing provides the information required to improve marketing, finances, and operations efficiency.

2. Blockchain: Blockchain is the distributed database technology that underpins the Bitcoin digital currency, and it's a darling among forward-thinking analysts and venture capitalists. The distinctive feature of a blockchain database is that data can't be erased or changed after it's been written. Furthermore, it is extremely secure, making it a perfect solution for sensitive industries such as retail, insurance, health care, banking, and among others.

3. NoSQL Databases: NoSQL databases are used to store unstructured data and offer quick performance. This implies it can handle a wide range of data formats in high volumes while remaining flexible. MongoDB, Redis, and Cassandra are examples of NoSQL databases.

4. Edge Computing: Edge computing systems evaluate data very near to where it was originated — at the network's edge — rather than sending it to a centralized server for analysis. An edge-computing system has the advantage of minimizing the quantity of data that must be transferred over the network, therefore lowering network traffic and expenses.

5. Streaming Analytics: By analyzing data as it is created, Streaming Analytics allows for faster and faster access to insights. Streaming Analytics can also take data from a variety of sources, evaluate it, and offer insights almost instantly.

6. Artificial Intelligence: Artificial intelligence has the ability to transform data analytics by learning (from previous analytic activities) and improving the speed and accuracy of outputs over time. Artificial intelligence has the ability to make accurate future predictions based on current events with vast amounts of data to draw from, as well as analytic results from previous inquiries.

8 0

3 years ago

Harry Potter and his friends are at Ollivander's with Ron, finally replacing Charlie's old broken wand. Hermione decides the bes

Step2247 [10]

Answer:

SELECT a.id, ab.age, b.min_coins_needed, b.power

FROM(SELECT code, power, min(coins_needed) AS min_coins_needed

from Wands

group by power, code) AS b

JOIN Wands wa

ON a.coins_needed = b.min_coins_needed AND a.code = b.code AND a.power = b.power

JOIN Wands_property AS ab

ON a.code = ab.code

WHERE ab.is_evil = 0

ORDER BY b.power desc, ab.age DESC;

Explanation:

SELECT statement is used to select the columns id, age, coins_needed and power of the wands that Ron's interested in.

It is required to get the minimum coins_needed so, min() aggregate function is used to return the minimum value of coins_needed. So this is how minimum coins needed for wands with same age and power are attained and the resultant set is given the name of min_coins_needed using alias. This is then grouped by code and power using GROUP BY because code and age has one to one mapping.

Next the JOIN is used to combine columns from two or more relations. Here Wands and Wands_property are joined to obtain id and age.

WHERE clause is used to filter the wands that are not evil.

ORDERED BY is used to sort in order of power and age, the result obtained. DESC is used to sort the result in descending order of power and age.

4 0

3 years ago