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Data Questions and Answers (Q&A)

Lol
Answered: Apr 18, 2024

Standard methodology includes Extract, Transform, Load.

1 Answer

236 views
J. Emmerich, Web Content Writer
Answered: May 06, 2020
Interval and ordinal data are two data types used in statistics and a unit of measurement used in data quantities. Ordinal data are known to be characterized by a clear and natural sequence,...Read More

4 Answers

234 views
Mudda Prince
Answered: Aug 17, 2019
Hadoop is an amazing programming framework that is quickly gaining prominence. It is sponsored by the Apache Software Foundation and has the support of the Java programming community. Hadoop as a...Read More

2 Answers

231 views
Carrasco
Answered: Apr 18, 2024
I would take each of steps a through c.

Often, when using theory as the basis for a study, one may find that the theory was not supported. This can occur for several reasons, such as the...Read More

1 Answer

224 views
D. Ronald, Writer
Answered: May 05, 2020
Qualitative analysis and quantitative analysis are two basic methods of receiving and interpreting data in research. These methods can be used separately or even together. However, they have some...Read More

6 Answers

145 views
N. Jarah
Answered: Jul 01, 2020
Data hiding, otherwise known as abstraction, and encapsulation are both basic oriented programming—concepts that allow you to apply real-world objects into programs and codes. Abstraction...Read More

3 Answers

117 views
Justin Thomas, Business Consultant
Answered: Nov 09, 2020
The main difference between data warehousing and data mining:
Data warehousing is the process of compiling and organizing data into one common database.
Data mining is the process of...Read More

1 Answer

56 views
L. Hawkes, Teacher
Answered: Mar 31, 2020
Data subject and data protectors are two entities that are different from each other, though they both have to do with data. First of all, what or who is a data subject? The data subject has to...Read More

1 Answer

34 views
Kannam kannamprasad
Answered: May 19, 2021
Python is the most common coding language I typically see required in data science roles, along with Java, Perl, or C/C++. Python is a great programming language for data scientists. This is why...Read More

1 Answer

18 views
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