Essentials of MIS (13th Edition)
13th Edition
ISBN: 9780134802756
Author: Kenneth C. Laudon, Jane Laudon
Publisher: PEARSON
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Chapter 6, Problem 3RQ
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Big Data:
- Big data is enormously large sets that may be analyzed computationally to expose trends, association and patterns particularly relating to human interactions and behavior.
- Big data challenges include data storage, search, transfer, data analysis, querying, sharing, information privacy, data source, querying, visualization and updating.
- Due to the technology evolution happened in the last 50 years, big data came into fruition.
- There was a transformation in the data landscape due to the revolutionary technological advances in software, hardware, storage, networking, and computing models which made new opportunities for data collection...
Explanation of Solution
Contemporary business intelligence infrastructure:
- Business intelligence is used to describe about the data and software tools that is required for organizing, analyzing, and providing access to data, which can help a company to make better decisions...
Program Plan Intro
Online Analytical Processing:
- OLAP (Online Analytical Processing) is a tool that provides multidimensional views of their data.
- It uses the query and tool to provide the multidimensional view and uses the simple windows techniques to analyze the data
Explanation of Solution
Data Mining:
- Data mining is a tool for analyzing the data.
- It is used for analyzing the data from different views and shortened into the useful information.
- In other words, it can be said data mining is a process that helps in finding patterns or correlations between multiple fields in severe relational databases.
Types of information obtained from data mining:
The different types of information provided by data mining are as follows.
- Associations – It is defined as the occurrences which are connected to a single event.
- Sequences – It is defined as the occurrences when events are connected over time.
- Classifications – It is defined as the recognition of patterns and relationships which define the group to which an item belongs...
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Text mining and web mining differing from conventional mining:
- Web mining is defined as the analysis of patterns and relationships from the World Wide Web.
- Text mining is defined as the tool for analyzing data which may work by obtaining impor...
Explanation of Solution
Accessing information:
- One of the ways by which the users can access information from a company’s internal databases through the web is by using web browser software on their PC.
- The client can connect to the
database and can request data. The requests are usually done by using HTML commands to communicate with the web server...
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Identify and briefly explain some of the concerns and challenges related to big data.
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Chapter 6 Solutions
Essentials of MIS (13th Edition)
Ch. 6.3 - Identify the problem in this case study. To what...Ch. 6.3 - Prob. 2CQ1Ch. 6.3 - Prob. 4CQ1Ch. 6.5 - Prob. 1CQ2Ch. 6.5 - What people, organization, and technology issues...Ch. 6.5 - Prob. 3CQ2Ch. 6.5 - Prob. 4CQ2Ch. 6 - Prob. 1IQCh. 6 - Prob. 2IQCh. 6 - Prob. 3IQ
Ch. 6 - Prob. 4IQCh. 6 - Prob. 1RQCh. 6 - Prob. 2RQCh. 6 - Prob. 3RQCh. 6 - Prob. 4RQCh. 6 - Prob. 5DQCh. 6 - Prob. 6DQCh. 6 - Prob. 7DQCh. 6 - Prob. 8HMPCh. 6 - Prob. 9HMPCh. 6 - Prob. 11HMPCh. 6 - Prob. 13CSQCh. 6 - Prob. 14CSQCh. 6 - Prob. 15CSQCh. 6 - Prob. 16CSQCh. 6 - Prob. 17MLMCh. 6 - Prob. 18MLM
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- Discuss and describe what is BIG DATA. Discuss what it is and how it is used. What are the pros and cons of it in a career field? What are the benefits.arrow_forwardDiscuss the challenges associated with managing big data, and how are these challenges addressed in the industry?arrow_forwardHow do data lakes differ from traditional databases and data warehouses? What are the advantages and challenges of using data lakes for large-scale data storage and analytics?arrow_forward
- Discuss the difference between data science, data processing, data engineering and data analytics.Discuss five (5) strategic uses of data-analysis in a business firm.Why are data and data analytic skills considered as assets?arrow_forwardDescribe the concepts of big data and data analytics. How can organizations leverage big data technologies and analytics to gain insights and make informed decisions?arrow_forwardExplain the principles of data warehousing, including data extraction, transformation, and loading (ETL). How does data warehousing support business intelligence and analytics?arrow_forward
- Questions: Q1. What is the difference between OLAP and OLTP? Q2. What is the difference between Data Warehousing and data mining? 03. What is the difference between Data Warehousing and Business Intelligence?arrow_forwardShould all organizations try to collect and analyze big data? Why or why not? What management, organization, and technology issues should be addressed before a company decides to work with big data?arrow_forwardIdentify internet interactions in terms of data mining vs. data retrieval...write 2 page paper discussing where you found the two scenarios, and why you think the interaction is data mining or data retrieval...be SPECIFIC...tell me the web site, what you were trying to do, and your reasons for classifying the interaction... THIS IS BASED ON YOUR PERSONAL EXPERIENCES...do NOT give me a definition of data mining...do NOT give me a definition of data retrieval...do NOT copy an example from the internetarrow_forward
- Presentation on current technology issue. You are welcomed and encouraged to select a topic that is impactful to you either personally or professionally. Options include, choose any below Business Computing Role of the cloud and associated infrastructure Business analytics, data mining and visualization ERP systems and alternatives Health Care Wearable health trackers EHR/EMR/PHR design, implementation and use Clinical and operational data mining Sustainability and corporate social responsibility Data centers and green computing Responsible use of customer and partner dataarrow_forwardPlease I want a short answer, thanks.arrow_forwardWhat are the role of data scientist? What education and training are required of data scientist?arrow_forward
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