Qualitative Research Philosophy

The contents of this chapter contains the research methodology of the project. As such, within this chapter the outline of the research strategy, the research method, the research approach, the data collection methods, sample selection, the form of data analysis, any ethical considerations and the research limitations are discussed.

Over many ago relational databases reside most of the data but after the introduction of NoSQL database had changed this procedure. Most of the unstructured data had been sent to NoSQL database. Relational database systems, which showed good performance before the birth of internet and cloud computing era is now unable to control the heat of new technologies. To stabilize this situation new requirements were set to design by RDBMS. To meet these challenges they need highly scalable and unstructured data model with high performance; so they choose NoSQL database (Muhammad Mughees, 2013).

This study is organized into five distinct chapters. Chapter one deals with the introduction which is made up of background information of the research, statement of the research problem, objectives, conceptual definition of terms, limitations and scope of the research and finally the

In this chapter, describes the research method that was followed. It including the research design and participants, and the techniques and data analysis methods that are used for research and detected. Moreover, it is also discussing the techniques used to carry out the experimental work.

This article presents the outline of the research project, including the different sections and summary descriptions of the information contained in each section. Overall, the research comprises six different sections. These include the introduction, literature review, analysis approach, results, discussion, and conclusion. It is important that these sections are well knit to ensure a logical flow of ideas and clarity in the presentation of the research report. The following section shows the research outline.

The proposed research is based on a combination of qualitative and quantitative methods. Qualitative research involves iterative, logical and exploratory process that gathers the views of participants with the objective of analysing the facts that relate to the study. On the other hand quantitative methods comprise of deductive ways of studying the data collected (Bryman, 2004 cited in Heath and Tyna, 2010; pg 10).

NoSQL databases are designed to expand transparently and horizontally to take advantage of new nodes, and designed with low-cost hardware. SQL have problems in Scalability.

For analysis, advanced statistical tools are used and the experimenter can draw necessary conclusions and inferences. In business sectors, they have a huge amount of scattered data in terms of profits, loss, demand, supply, sales and production. The industrial, insurance, agricultural, banking, information technology, food industry, telecommunication, retail, utilities, travel, pharmacy and many more have challenges to manage their data. As the coin always has two sides, there are both advantages and a few disadvantages of data analysis. The key advantages of data analysis are- The organizations can immediately come across errors, the service provided after optimizing the system using data analysis reduces the chances of failure, saves time and leads to advancement. It is also used to compare strategies between two companies so as to reduce the prices and gaining attention of target customers, ultimately leading to maximization of profit and minimization of cost(as done in Game Theory). However, big data analysis sometimes becomes more tedious and disadvantageous because it uses software Hadoop which requires special provisions in the computers. For now use of Hadoop for real-time analysis is not available. The manner in which the data is collected and the decision making view can vary from one person to another. Here, the quality of data gets affected and leaves the data insufficient or inefficient. In order to tackle this problem, the researcher must be professional, well experienced and should have deep knowledge about the characteristic under study. Also, we need to update data from time to time so as to avoid the changes in trend caused by the past data especially, for the rapidly growing

• This type of research is generally criticized due to inappropriate validity or reliability. Due to subjective kind of qualitative and its origin, it is very complicated to apply common standards of reliability and

The quality of qualitative research is of great importance because as the data obtained from the research can be used to form the basis in quantitative research. Several researchers have criticized the fact that qualitative research does not have a method that can be used to measure its quality. However, there are various concepts that can be used to measure the quality of qualitative research. These methods are the school of thoughts of Dixon-Woods et al. and the Lincoln et al. and the measurement of reliability, validity, and generalizability. According to various researches, these methods have been efficient in computing the quality of qualitative researches.

Commentary: This article focused on qualitative research, for both experimental and non-experimental data. Such as surveys, questionnaires, and case studies. This would be useful when designing a qualitative study to know researchers may have to go back and re think their design even in the data collection part of the study.

The aims and objective of this research is clearly stated in this chapter. The scope of study of this research was significantly mention and the limitation in carrying out this research is clarified. The details on research methodology will be discussed in chapter 3 while literature review for this research will be discussed on the following chapter.

This chapter presents the background of the study, the statement of the problem, the assumptions made in accordance with the design of the project, the scope and delimitation, the significance of the study, the research design and methodology, and the definition of terms used in the study.

Abstract-The amount of data being generated nowadays has increased tremendously. With these large volumes of data, there is a need for efficient storage and processing of data. The data generated from a variety of sources like Social networking sites, Emails, audio and video files, text files and other various files is unstructured. The traditional database cannot handle this complex and high volumes of data efficiently. The Hadoop framework provides an effective solution for storing large volumes of data and processing the data for analysis. This paper deals about the Traditional Databases, Big data, Data analysis and how effectively Hadoop stores these large volumes of data and processes data for analysis. Furthermore, this paper also focuses on the various technologies used in Hadoop for the purpose of storing the data and for processing the data.

A general definition of research is the systematic investigation into and study of materials and sources in order to establish facts and reach new conclusions. Research is an important part of many people’s lives both personally and professionally. What kind of car to buy? What are the most recent therapies to combat breast cancer? What is the best stock to invest in? Research needs to continually and systematically be conducted for society to move forward. Qualitative research is one type of research “that encompasses a number of philosophical orientations and approaches.” Early in the 20th century, scientists, such as anthropologists and sociologists went out into the world to ask the questions of how and why the societal and cultural world was the way that it was. Inquiry was done to better understand social phenomenon. As time went on, different professional fields such as education, law, health, and social work also embraced qualitative research. Today hundreds of books and journals exist on qualitative research, as well as various strategies, paradigms, and methods for conducting such research.