Answer:
Big data lifecycle consists of four phases: data collection, data storage, data analysis, and knowledge creation. Data collection phase consists of collecting data from different sources. In this phase, it is important to collect data from trusted data sources.
I think business cases analysis is the most useful step because (BCA) provides a best-value analysis that considers not only cost but other quantifiable and non-quantifiable factors supporting an investment decision. This can include but is not limited to, performance, producibility, reliability, maintainability, and supportability enhancements
Explanation:
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Answer:
wertweabcd
Explanation:
The LPAD() function left-pads a string with another string, to a certain length.
LPAD(string, length, lpad_string)
Parameter Description
string: Required. The original string. If the length of the original string is larger than the length parameter, this function removes the overfloating characters from string
length: Required. The length of the string after it has been left-padded
lpad_string: Required. The string to left-pad to string.
In example;
SELECT LPAD("SQL Brainly", 20, "ABC");
Output : ABCABCABSQL Brainly
Answer:
A. Using a cell phone to discuss sensitive information
Explanation:
In general, cell phone signals are not secure. Cell phones without appropriate encryption should never be used to discuss sensitive information.
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An example of value which is created through the use of deep learning is: b. reducing multi-language communication friction in a company through automatic language translation.
<h3>What is machine learning?</h3>
Machine learning (ML) is also known as deep learning or artificial intelligence (AI) and it can be defined as a subfield in computer science which typically focuses on the use of computer algorithms, data-driven techniques (methods) and technologies to develop a smart computer-controlled robot that has the ability to automatically perform and manage tasks that are exclusively meant for humans or solved by using human intelligence.
In Machine learning (ML), data-driven techniques (methods) can be used to learn source ranges directly from observed multi-language communication.
In this context, we can infer and logically deduce that an example of value which is created through the use of deep learning is reducing multi-language communication friction that exist among employees working in a company through automatic language translation.
Read more on machine learning here: brainly.com/question/25523571
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