Chapter 6, Problem 3RQ

Explanation of Solution

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...