Pfa…
Topic- literature review on the same correction topic 5 pages excluding references.
Requirement
Topic provided previously on the below one only need literature review
Big Data
With the advancement in technology, a lot of information termed Big Data circulates and is important in our decisions. The more informed people are, the better decisions they make. This essay will involve a description of Big Data and highlight the areas that have been influenced by the large scale data.
The term big data can be defined as a large volume of information. This information or data set can either be structured or unstructured and is continually generated and relayed from various sources. Big Data may be acquired from websites for E-commerce, transactions done online, social media networks, medical records, indexes for internet searches, banking and financial services, scientific searches, website blogs, and document searches (Lee, Wei, Mukhiya2018). Big Data is characterized by a high volume of information, high-speed processing, and a wide variety.
Based on their size and compressibility, the traditional analysis software cannot analyze the data, and this prompted advancement in technology to deal with such enormous volumes of information. (Hussain, Roy2016). Companies mainly use this data to give a detailed view of their customer preferences and comments on their products. With the rising competition in business and the markets, managers in organizations often use data to decide how to do their business planning and maximize profits. Therefore a better definition of big data can be the realization of great business intelligence that stores large volumes of data, process it accurately, and analyze the processed information that was not done by traditional statistical software.
As the term itself entails, big data involves dealing with a lot of data. This comes with a new challenge because this data storage requires large volumes of space. To address the problems of analyzing these large volumes of data, various methods have been adopted to solve them. The first method is sampling, which includes picking a few bits or samples of data from a data set and use it to come up with conclusions and findings. Another method for this is data condensation. The software can reduce the data size to fit the storage space available. It also enables fast retrieval of such data when needed (Yu, Guo2016). Other methods, such as density-based approaches, grid-based approaches, incremental learning, and distributed computing, have been applied. With the above methods, it is easier to analyze the large volumes of data efficiently and within the required time.
Storage of large-scale data has become a priority, and economic tools have been provided to achieve this. Big data tools like cloud storage are cost-effective when storing big data (Hussain, Roy2016). Tools like Hadoop work at high speed when analyzing data promotes faster and effective decision making. Though the continuous development and technological improvement of computer systems and information technologies have influenced the improvement of computer hardware regarding Moore’s law for the past few years, handling of large-scale data is a problem that is still existing as we get to the era of Big Data. That was part of why Kashyap made a statement that big data is the data that cannot be handled and processed by most current information systems or methods because data in the Big Data era will be too bulky to contain in few computer systems(Kashyap,2019).
A researcher needs to apply Big Data analytics for an online banking project in a scenario where one would acquire records for transactions from banks and securities exchange firms. The analysis of this data would help determine peak transaction hours, major causes of delay, among other factors that help improve service delivery. This application of Big Data analytics is important in making business decisions. The data can then be stored in the Cloud for easier retrieval once required.
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Checklist:
☐ Conduct and document a thorough literature search based on a variety of relevant search terms and databases using appropriate Boolean operators and combinations.
☐ Start writing with a summary of the purpose statement that leads to a brief explanation of the organization of the literature review. Do not cut and paste the Purpose Statement section from Chapter I.
☐ Present historical research as well as recent research related to the topic of study within the last 5 years.
☐ Include appropriate scholarly source citations for each assertion.
☐ Use multiple citations from diverse literature to weave concepts persuasively and coherently together.
☐ Clearly identify and discuss the knowledge gap.
☐ Include key issues and address all components of the research questions (main constructs, relationships, and associations).
☐ Reframe existing controversies or issues in the literature in novel terms.
☐ 85% of references must be to peer-reviewed research published within the last 5 years to ensure that the study is current, relevant, and warranted.
☐ The literature review should be approximately 30 to 50 pages to this section to include citations to at least 50 relevant sources.
☐ At the end of this section, include documentation in a paragraph that explains the literature search strategy, describes the library and search engine sources, and search terms using the information compiled at the beginning of the literature review.
☐ The documentation may include an APA formatted table that describes the
nature and sources of references.
Theme
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Checklist:
☐ Identify, articulate, and describe the theoretical and/or conceptual framework used to guide the study based on the critical review of relevant literature. In the discussion include these aspects:
☐ Identify and define all constructs/concepts of the study. The constructs/concepts are the backbone of the conceptual framework.
☐ Provide a thorough explanation of relationships among the constructs/concepts.
☐ Present all assumptions and propositions relating to the constructs/concepts/variables.
☐ Explain the origin and development of the framework. Demonstrate comprehensive knowledge of and understanding with both the historical and the current literature on the framework.
☐ Identify the existing studies using this framework in a comparable manner. Note alternative frameworks justify why the selected framework was chosen.
☐ Describe how and why the selected framework relates to the present study and how it guided the development of the problem statement, purpose statement, and research questions.
☐ Provide a graphical representation of the theoretical framework.
☐ Provide a graphical representation of the conceptual framework including all the relationships between the constructs/concepts and/or variables.
The discussion of this section should:
☐ Reflect a thorough discussion of the conceptual and/or theoretical area under which the research falls and how the proposed research fits within other research in the field.
☐ Clearly consider the theoretical assumptions and principles guiding the study and include important issues, perspectives, and, if appropriate, controversies in the field.
☐ Reflect comprehensive knowledge of and familiarity with both the historical and current literature.
☐ Cite only scholarly and peer-reviewed sources.
Hypotheses
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Checklist:
☐ Present hypotheses that directly correspond to each research question from Chapter I.
☐ No new variables/constructs should be introduced. Include the exact variables/constructs of the research questions mentioned in Chapter I.
☐ Ensure the hypotheses are bi-directional (two-tailed).
Summary
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Checklist:
☐ Briefly restate the key points presented in chapter II. Review the headings and/or table of contents to ensure that all the key points are covered.
☐ Highlight areas of contradictions, convergence and divergence, uncertainties, and knowledge gaps in the literature that support and warrant the need for the study and include supporting citations for key points.
☐ The summary discussion should logically flow and lead into Chapter III to setup the research methodology and design discussion.
Need 10 slides of ppt on the research topic(selected for literature review Bigdata)
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