Management Information Systems: Managing The Digital Firm -- Student Value Edition (16th Edition)
16th Edition
ISBN: 9780135191927
Author: Kenneth Laudon, Jane Laudon
Publisher: PEARSON
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Chapter 6, Problem 3RQ
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Big data
- Big data describes datasets with huge volumes that are beyond the ability of typical
database management system to capture, store, and analyze. - Big data includes structured and unstructured data captured from web traffic, email messages, and social media content like tweets and status messages.
- It also includes machine-generated data from sensors.
Technologies for managing and analyzing big data
The three main technologies for managing and analyzing big data include:
Hadoop
- Hadoop is an open-source software framework that enables distributed parallel processing of huge amounts of data across inexpensive computers.
- The software breaks huge problems into smaller ones, processes each one on a distributed network of smaller computers, and then combines the results into a smaller data set that is easier to analyze...
Explanation of Solution
Components of a business intelligence infrastructure
- Business intelligence (BI) infrastructure includes an array of tools for obtaining useful information from all the different types of data used by businesses today, including semi-structure and unstructured big data in vast quantities.
- Data warehouses, data marts, Hadoop, in-memory processing, and analytical platforms are the components included in business intelligence infrastructure...
Explanation of Solution
Capabilities of online analytical processing
- Online Analytical Processing (OLAP) represents relationships among data as a multidimensional structure, which can be visualized as cubes of data and cubes within cubes of data, enabling more sophisticated data analysis...
Explanation of Solution
Data mining
- Data mining is the process of sorting through large data sets for identifying patterns and establishing relationships.
- Data is mined in order to solve problems through data analysis.
- Data mining tools are used to allow enterprises for predicting future trends.
Data mining and Online Analytical Processing (OLAP)
- Data mining provides insights into corporate data that cannot be obtained with OLAP...
Explanation of Solution
Text mining and web mining from conventional data mining
- Conventional data mining focuses on data that have been structured in databases and files.
- Text mining concentrates on finding patterns and trends in unstructured data contained in text files.
- The data may be in email, memos, call center transcripts, survey responses, legal cases, patent descriptions, and service reports...
Explanation of Solution
Users accessing information from internal database
- Conventional databases can be linked by middleware to the web or a web interface to facilitate user access to an organization’s internal data.
- Web browser software on a client personal computer is used to access a corporate web site over the Internet.
- The web browser software requests data from the organization’s database using Hypertext Mark-up Language (HTML) commands to communicate with the web server...
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