Principles of Information Systems (MindTap Course List)
13th Edition
ISBN: 9781337516945
Author: STAIR
Publisher: Cengage
expand_more
expand_more
format_list_bulleted
Concept explainers
Question
Chapter 5, Problem 2CTQ2
Program Plan Intro
Big Data:
Big Data is large amount of structured, semi-structured or unstructured data generated by mobile, and web applications such as search tools, web 2.0 social networks, and scientific data collection tools which can be mined for information.
Three characteristics of big data:
The big data is categorized into 3Vs as follows:
- Volume of data
- Variety of data
- Velocity
Volume – It refers to the amount of data being stored. With the advent of Internet and Social media, organizations are using multiple technologies to interact with the end users and these technologies are generating mountains of data.
Velocity – Velocity refers to the speed of data processed. With the advent of Internet and social media, the business response times have shrunk and the increase in the number of different data streams has resulted in the velocity of data growth.
Variety – Variety refers to the number of types of data. The data comes in multiple data formats, where a great portion of it cannot be handled by operational databases.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
Explain how the three characteristics of big data apply to data collected by healthcare organisations such as Mercy.
Research on the advantages and disadvantages of the different methods in collecting data.
Data-driven approaches have what benefits?
Chapter 5 Solutions
Principles of Information Systems (MindTap Course List)
Ch. 5.1 - Prob. 1RQCh. 5.1 - Which attribute would you designate as the primary...Ch. 5.1 - Prob. 1CTQCh. 5.1 - Prob. 2CTQCh. 5.2 - Prob. 1RQCh. 5.2 - Prob. 2RQCh. 5.2 - Prob. 1CTQCh. 5.2 - Prob. 2CTQCh. 5.3 - Prob. 1RQCh. 5.3 - Prob. 2RQ
Ch. 5.3 - What additional questions need to be answered...Ch. 5.3 - Prob. 2CTQCh. 5.4 - Prob. 1RQCh. 5.4 - Telefonica Brasil is one of the largest...Ch. 5.4 - Prob. 1CTQCh. 5.4 - Prob. 2CTQCh. 5.5 - Prob. 1RQCh. 5.5 - Prob. 2RQCh. 5.5 - Why is it unlikely that a traditional SQL database...Ch. 5.5 - Prob. 2CTQCh. 5 - Prob. 1SATCh. 5 - Prob. 2SATCh. 5 - Prob. 3SATCh. 5 - The ______________ model is a simple but highly...Ch. 5 - The ability to combine two or more tables through...Ch. 5 - Prob. 6SATCh. 5 - Prob. 7SATCh. 5 - Prob. 8SATCh. 5 - Prob. 9SATCh. 5 - Prob. 10SATCh. 5 - Prob. 11SATCh. 5 - Prob. 12SATCh. 5 - Prob. 13SATCh. 5 - Prob. 14SATCh. 5 - Prob. 15SATCh. 5 - Prob. 16SATCh. 5 - Prob. 1RQCh. 5 - In the hierarchy of data, what is the difference...Ch. 5 - Prob. 3RQCh. 5 - What is meant by data archiving? Why is this an...Ch. 5 - What is an entity-relationship diagram, and what...Ch. 5 - Identify four basic data manipulations performed...Ch. 5 - Prob. 7RQCh. 5 - Prob. 8RQCh. 5 - Prob. 9RQCh. 5 - Prob. 10RQCh. 5 - Prob. 11RQCh. 5 - Prob. 12RQCh. 5 - Prob. 13RQCh. 5 - Prob. 14RQCh. 5 - Prob. 15RQCh. 5 - Prob. 16RQCh. 5 - Prob. 17RQCh. 5 - Prob. 1DQCh. 5 - Outline some specific steps an organization might...Ch. 5 - SQL databases conform to ACID properties. Briefly...Ch. 5 - Prob. 4DQCh. 5 - Prob. 6DQCh. 5 - Prob. 8DQCh. 5 - Prob. 1PSECh. 5 - Describe the role of a database administrator....Ch. 5 - Prob. 2CECh. 5 - Prob. 1CTQ1Ch. 5 - Prob. 2CTQ1Ch. 5 - Prob. 3CTQ1Ch. 5 - Prob. 1CTQ2Ch. 5 - Prob. 2CTQ2Ch. 5 - Prob. 3CTQ2
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 are the difference of Qualitative vs quantitative data collection?arrow_forwardWho is a data scientist, and what do they do? Is there a certain course of study or set of skillsets one must acquire to enter the field of data science?arrow_forwardMercy may benefit from using a corporate data model in a number of ways. Due to Mercy's significant investment in big data, the issue of whether or not the organization should have a well defined model that outlines its data needs and goals has come up.arrow_forward
- How does qualitative data analysis differ from quantitative analysis, and what are the advantages and limitations of each?arrow_forwardWhat are three characteristics of big data that set it apart from other forms of information, and how do these relate to the data that healthcare providers collect, such as mercy data?arrow_forwardCan you name three characteristics of big data that set it apart from other types of information and explain how they relate to the data that healthcare providers collect, such as mercy data?arrow_forward
- How does data science relate to and differ from statistics?arrow_forwardPlease explain the following: what are the three defining characteristics of big data, and how do these relate to the data that healthcare providers collect, such as mercy data?arrow_forwardWhat are the benefits of Mercy adopting an enterprise data model? Is it more or less necessary for Mercy to have a well-articulated model that defines the organization's data needs and objectives as a consequence of its significant excursion into big data?arrow_forward
- The term "Hybrid Approach" in the context of data warehousing pertains to a methodology that combines elements of both traditional and modern approaches in order to optimize the storage, processing, and analysis of data.arrow_forwardWhat are the advantages of an enterprise data model for Mercy? Is it more or less important for Mercy to have a clearly developed model that states the organization's data needs and priorities as it moves into big data?arrow_forwardExplain how the three characteristics of big data apply to the data that healthcare practitioners collect, such as mercy data, and provide some instances of how these characteristics present themselves in practice.arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
Fundamentals of Information SystemsComputer ScienceISBN:9781305082168Author:Ralph Stair, George ReynoldsPublisher:Cengage Learning
Fundamentals of Information Systems
Computer Science
ISBN:9781305082168
Author:Ralph Stair, George Reynolds
Publisher:Cengage Learning