Business Finance
CIS 130 NVCC Characteristics of Data Explosion Phenomenon Critical Review Essay

CIS 130

Northern Virginia Community College

CIS

Question Description

Help me study for my Computer Science class. I’m stuck and don’t understand.

First learn about Data and Information

                      • Research data and demonstrate the different types of data. Understand the explosion of data in today’s world where 80% of all data created is unstructured versus 20% is structured.
                      • Watch the.
                      • Review the Data Infographic.
                      • Read the PCWorld Article on Data Explosion.

Research structured and unstructured data and provide examples of each

Research reporting and provide examples of reports that turns data into information

Submit a 3-5 page paper that recognizes all the data that exists and how to make meaning of that data

Pick an organization, visit it, and submit a document that outlines all the structured and unstructured data that the organization handles from your observations.

Also, determine what kinds of reports would be needed to support the organization.

Student has agreed that all tutoring, explanations, and answers provided by the tutor will be used to help in the learning process and in accordance with Studypool's honor code & terms of service.

Final Answer

Check this out 👍 Please let me know if you have any questions or if you need to make changes. Thanks 😀

Data Science Outline
Introduction
Types of Data
Data Explosion
Structured & Unstructured Information
Turning Data into Useful or Meaningful Information
Organizational Case Study
References
Appendix A – Exhibits


Running head: BIG DATA APPLICATION

Data Science

2
BIG DATA APPLICATION

Introduction
This presentation has a critical review of the characteristics of the data explosion
phenomenon. The analysis shows the characteristics of data and how stakeholders can create
value from various types of data for their specific organizational objectives. The discussion not
only shows the characteristics of data organization, but it also shows approaches for creating
value by applying data science techniques.

Types of Data
Types of data could be characterized based on how data is represented. Exhibit A.2
shows techniques for data representation. In this case, the data is spatial data, and the exhibit
shows approaches for representing information. This technique is highly relevant to other types
of data as well. Thus, based on this understanding, data could be characterized as:


Structured data



Unstructured data

Data could also be charac...

Warble (1068)
UC Berkeley

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