Database Concepts (8th Edition)
8th Edition
ISBN: 9780134601533
Author: David M. Kroenke, David J. Auer, Scott L. Vandenberg, Robert C. Yoder
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Concept explainers
Expert Solution & Answer
Chapter 8, Problem 8.8RQ
Explanation of Solution
Transformation of data:
- The data that are present in data warehouse contains a summary of different data.
- The data that are present in warehouse needs to be used correctly so that the data need to be aggregated.
- The data contents that are present need to be consolidated such that the data can be used by the operations team in an effective way.
- Hence, the data contents get stored in one format and will be used in another format after performing consolidation operations...
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solutionStudents have asked these similar questions
In your own words, explain the difference between data and information. You may use examples in your explanation.
The answer seem to be like copied from some other place.
Computer Science
Using a set of spotify data, where there is different singers, songs, liveness, danceability, etc, how would you pull out one specific artist to make another playlist on Spotify? Please show an example using python.
Using the same data from above how would you make a plot for liveness and danceability? Please show an example using python.
Chapter 8 Solutions
Database Concepts (8th Edition)
Ch. 8 - Prob. 8.1RQCh. 8 - Prob. 8.2RQCh. 8 - Prob. 8.3RQCh. 8 - Prob. 8.4RQCh. 8 - Prob. 8.5RQCh. 8 - Prob. 8.6RQCh. 8 - What problems in operational data create the need...Ch. 8 - Prob. 8.8RQCh. 8 - Prob. 8.9RQCh. 8 - Prob. 8.10RQ
Ch. 8 - Explain the difference between a data warehouse...Ch. 8 - Prob. 8.12RQCh. 8 - Prob. 8.13RQCh. 8 - Prob. 8.14RQCh. 8 - Prob. 8.15RQCh. 8 - Prob. 8.16RQCh. 8 - Prob. 8.17RQCh. 8 - Prob. 8.18RQCh. 8 - Prob. 8.19RQCh. 8 - Prob. 8.20RQCh. 8 - Prob. 8.21RQCh. 8 - Prob. 8.22RQCh. 8 - Prob. 8.23RQCh. 8 - Prob. 8.24RQCh. 8 - Prob. 8.25RQCh. 8 - Prob. 8.26RQCh. 8 - Prob. 8.27RQCh. 8 - Explain one way to partition a database that has...Ch. 8 - Prob. 8.29RQCh. 8 - Explain what must be done when fully replicating a...Ch. 8 - Prob. 8.31RQCh. 8 - Prob. 8.32RQCh. 8 - Prob. 8.33RQCh. 8 - Prob. 8.34RQCh. 8 - Explain the meaning of the term object...Ch. 8 - Prob. 8.36RQCh. 8 - Prob. 8.37RQCh. 8 - Prob. 8.38RQCh. 8 - Prob. 8.39RQCh. 8 - Prob. 8.40RQCh. 8 - Prob. 8.41RQCh. 8 - Prob. 8.42RQCh. 8 - Prob. 8.43RQCh. 8 - Prob. 8.44RQCh. 8 - Prob. 8.45RQCh. 8 - Prob. 8.46RQCh. 8 - Prob. 8.47RQCh. 8 - Prob. 8.48RQCh. 8 - Prob. 8.49RQCh. 8 - Prob. 8.50RQCh. 8 - Prob. 8.51RQ
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.Similar questions
- What is the connection between datasets and data literacy?arrow_forwardWhat images come to mind when you think of email? What happens when an email is sent? Write down whatever that is currently on your thoughts. Can we put anything or someone to blame for these differences? How well do your models perform when applied to complicated data sets?arrow_forwardWhen you think about email, what images pop into your head? What occurs when you send an email? Jot down any information you can at this time. Is there any way to explain these discrepancies? How successfully do your models scale up or down in complexity?arrow_forward
- We recommend that Flynn's taxonomy be expanded by one level. What is it about computers at this higher level that makes them stand out from the crowd?arrow_forwardWhat pictures come to mind when you think about email? What happens to an email once it is sent? Make a list of everything you've learned thus far. Is anybody aware of the reasons for these disparities, and if so, what they are? Do your models support varying degrees of complexity?arrow_forwardWhat do you think of when you think about email? In order to send an email, what is the process via which it travels? Make a list of all the things you've learned thus far. Is there a reason for the variances, and what are they? Allow for varying levels of complexity in various models (or abstraction).arrow_forward
- What mental pictures do you conjure up when you consider email? When an email is sent, what exactly happens? Make a rundown of all the information you have uncovered so far. Does anyone know what the root reasons of these disparities are? Do your models work well with varying degrees of complexity?arrow_forwardWith the use of examples applicable to the case study, explain how data can be transformed into information and knowledge.arrow_forwardHow do you envision e-mail? How does an email message go from one place to another? Make a list of your discoveries. Exactly what are the differences and why are they made? Assume that several models have differing degrees of complexity (or abstraction).arrow_forward
- What other data science tool are available besides the ones mentioned in class?arrow_forwardA wide variety of everyday objects (including attractions at amusement parks, autos, elevators, and ovens) are really computers or information systems these days. The typical person would not connect them to a computer or database. The benefits are obvious, but are there any downsides to consider? As an example, if you rode a computer-controlled roller coaster, how confident would you be in its safety? As more and more mundane tasks are automated by computers, we have to ask whether the benefits are worth the cons. If so, then explain why.arrow_forwardWhat's the short answer to the question: "Data vs. information?"arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- Database System ConceptsComputer ScienceISBN:9780078022159Author:Abraham Silberschatz Professor, Henry F. Korth, S. SudarshanPublisher:McGraw-Hill EducationStarting Out with Python (4th Edition)Computer ScienceISBN:9780134444321Author:Tony GaddisPublisher:PEARSONDigital Fundamentals (11th Edition)Computer ScienceISBN:9780132737968Author:Thomas L. FloydPublisher:PEARSON
- C How to Program (8th Edition)Computer ScienceISBN:9780133976892Author:Paul J. Deitel, Harvey DeitelPublisher:PEARSONDatabase Systems: Design, Implementation, & Manag...Computer ScienceISBN:9781337627900Author:Carlos Coronel, Steven MorrisPublisher:Cengage LearningProgrammable Logic ControllersComputer ScienceISBN:9780073373843Author:Frank D. PetruzellaPublisher:McGraw-Hill Education
Database System Concepts
Computer Science
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:McGraw-Hill Education
Starting Out with Python (4th Edition)
Computer Science
ISBN:9780134444321
Author:Tony Gaddis
Publisher:PEARSON
Digital Fundamentals (11th Edition)
Computer Science
ISBN:9780132737968
Author:Thomas L. Floyd
Publisher:PEARSON
C How to Program (8th Edition)
Computer Science
ISBN:9780133976892
Author:Paul J. Deitel, Harvey Deitel
Publisher:PEARSON
Database Systems: Design, Implementation, & Manag...
Computer Science
ISBN:9781337627900
Author:Carlos Coronel, Steven Morris
Publisher:Cengage Learning
Programmable Logic Controllers
Computer Science
ISBN:9780073373843
Author:Frank D. Petruzella
Publisher:McGraw-Hill Education