ITC571 Emerging Technologies And Innovation

The Capstone Topic Project Plan allows for a broad range of project areas like systems administration, database systems, IT security, mobile technology etc. Often the project has a sponsor and is linked to your interest or workplace needs. The proposal has a research component so in some cases you may need to find a supervisor willing to accept you as a candidate.

The Learning Outcomes being assessed in this item include how you interpret and evaluate an overview of recent trends in emerging technologies and innovation and begin to to plan, execute, record and present your research and project work as a capstone experience.

Your Capstone Project Proposal and Plan will be evaluated with a series of questions that you can use as a Checklist:

Is the capstone topic area appropriate?
Has the Project Blog been setup?
Has there been sufficient justification of the choice of the topic?
Is there enough scope for a sufficiently deep/complex analysis?
Is the scope appropriate for what might be reasonably expected in the capstone project subject?
Is the methodology proposed clear?
Are the deliverables clearly set out?
Are the deliverables sufficiently complex to justify a pass in this activity?
Is it likely that the proposed activities can be reasonably carried out?
Is it likely that the student will have access to the necessary resources to do a satisfactory job?
Is the time line proposed realistic?

Introduction

The proposal reflects on “Big Data management” which is defined as organization, governance as well as administration of large volume of both unstructured and structured data. The background of big data management reflects that an organization, which utilizes big data, faces problems because they fail in analyzing big data due to its complexities. This problem must be solved digital marketers are pressurized with the burden of acting quickly for capturing relevant big data [3]. Therefore, the problem can be solved by utilizing modern data management tools and by utilizing analytics that helps in providing proper automated analysis of data. The problem is quite significant as it is faced by all the organizations that utilize big data for effective as well as proper management. The researchers are trying to propose a solution that will be helpful in solving the problem that is faced by the organizations. The main aim of the report is to focuses on the big data management and its disadvantages. The objective of the report is to solve the problem in big data management by utilizing proper methodology.

Materials and Methods

 The problem in big data management can be solved by utilizing modern data management tools or by utilizing analytics for better-automated analysis of data. The considered methodology for this project is considered to be secondary method of analyzing data collected from various resources. In contrast with these facts, the concerned data related to this research topic should be based on the secondary data resources. The information collected from these secondary data resources the research process will be conducted with respect to various aspects and contexts involved within the Big Data Management. The concerned literature reviews will concerned with various concerned approached of qualitative as well as quantitative data sources as surveys are important for managing the user reviews and interviews will be arranged for managing the impact of big data management process within various organizations and projects.

In contrast with the research topic, the results will clarified after conducting the research with respect to various critical aspects and utilizations of big data.

Expected Outcome

Following are expected outcomes for this research process:

Improvised data storage opportunities: The big data management is nothing but the operations related to huge amount of data involved within the system architecture of any organization or project [2]. In contrast with these facts, the stored data are improvised high density storage of data and also provides opportunity to store huge amount of data for managing various organizational operations.

Improvised data analytics operations: The use of big data management process provides effective solutions for managing the big data analytics involved within any organization [1]. In contrast with these facts, there are opportunities to organizational development as well as it provides effective decision making solution to the organizations.

Timeline

Week	Task
1	Analyzing the problem in big data management
2	Identification of the problem
3	Risk Analysis
4	Preparation of project document
5	Collection of Resources
6	Analyzing Budget
7	Project Planning
8	Implementation of modern data management tools
9	Implementation of analytics tools
10	Development of modern data management tools
11	Development of analytic tools
12	Project closure

References

[1] Erl, T., Khattak, W., & Buhler, P. (2016). Big Data Fundamentals: Concepts, Drivers & Techniques. Prentice Hall Press.

[2] Kaur, P., & Monga, A. A. (2015). Big Data Management. International Journal of Advance Foundation And Research In Science & Engineering, 1, 1-7.

[3] Ni, L. M., Tan, H., & Xiao, J. (2016). Rethinking big data in a networked world. Frontiers of Computer Science, 10(6), 965-967.

[4] Zhang, H., Chen, G., Ooi, B. C., Tan, K. L., & Zhang, M. (2015). In-memory big data management and processing: A survey. IEEE Transactions on Knowledge and Data Engineering, 27(7), 1920-1948.