Big Data Processing and Analytics
Order ID |
53563633773 |
Type |
Essay |
Writer Level |
Masters |
Style |
APA |
Sources/References |
4 |
Perfect Number of Pages to Order |
5-10 Pages |
Description/Paper Instructions
Big Data Processing and Analytics
Big data refers to extremely large data sets that are generated by various sources and have the potential to be analyzed to reveal patterns, trends, and insights that can inform decision-making. The amount of data being generated is increasing rapidly, with sources including social media, e-commerce transactions, IoT devices, and more.
To process and analyze big data, several technologies and techniques have been developed, including:
- Hadoop: An open-source framework for storing and processing large data sets. Hadoop is designed to be scalable, flexible, and fault-tolerant, making it a popular choice for big data processing.
- NoSQL databases: Unlike traditional relational databases, NoSQL databases are designed to handle large amounts of unstructured data. They are highly scalable, making them well-suited for big data applications.
- Data warehousing: This refers to the process of collecting, storing, and managing large data sets for analysis. Data warehousing solutions can be designed for big data, with distributed storage systems and parallel processing capabilities.
- Machine learning: This refers to the use of algorithms that can learn from data and make predictions or decisions without being explicitly programmed to do so. Machine learning can be applied to big data to uncover patterns and relationships that might not be apparent otherwise.
- Data visualization: This refers to the use of graphical representations, such as charts and graphs, to help people understand data. Data visualization is an important tool for big data analytics, as it allows people to see patterns and trends in the data that would otherwise be difficult to detect.
In order to effectively process and analyze big data, it is important to have the right infrastructure and tools in place. This includes hardware, software, and human resources. Organizations need to have the right amount of computing power and storage capacity to handle the volume of data they are dealing with, and they need to have the right software tools to analyze that data effectively.
In addition, organizations need to have the right people in place to manage and analyze the data. This includes data scientists, statisticians, and business analysts who have the skills and expertise to extract insights from the data and communicate those insights to decision-makers.
The process of big data processing and analytics can be broken down into several steps:
- Data collection: This refers to the process of gathering data from various sources. This can include data from internal sources, such as enterprise systems, and external sources, such as social media and public data sets.
- Data storage: This refers to the process of storing the data in a way that is accessible for analysis. This can include storing the data in a data warehouse, a NoSQL database, or a distributed file system like Hadoop.
- Data cleaning and preparation: This refers to the process of cleaning and preparing the data for analysis. This can include removing duplicates, correcting errors, and transforming the data into a format that can be easily analyzed.
- Data analysis: This refers to the process of using various tools and techniques to uncover patterns and relationships in the data. This can include using machine learning algorithms, statistical analysis, and data visualization.
- Data interpretation: This refers to the process of taking the insights from the data and using them to inform decision-making. This can involve communicating the insights to decision-makers and stakeholders, and using the insights to inform strategies and tactics.
Big data processing and analytics can have a significant impact on organizations, as it can provide insights that inform decision-making and drive competitive advantage. For example, big data analytics can be used to optimize supply chain management, improve customer experience, and enhance fraud detection.
RUBRIC
QUALITY OF RESPONSE |
NO RESPONSE |
POOR / UNSATISFACTORY |
SATISFACTORY |
GOOD |
EXCELLENT |
Content (worth a maximum of 50% of the total points) |
Zero points: Student failed to submit the final paper. |
20 points out of 50: The essay illustrates poor understanding of the relevant material by failing to address or incorrectly addressing the relevant content; failing to identify or inaccurately explaining/defining key concepts/ideas; ignoring or incorrectly explaining key points/claims and the reasoning behind them; and/or incorrectly or inappropriately using terminology; and elements of the response are lacking. |
30 points out of 50: The essay illustrates a rudimentary understanding of the relevant material by mentioning but not full explaining the relevant content; identifying some of the key concepts/ideas though failing to fully or accurately explain many of them; using terminology, though sometimes inaccurately or inappropriately; and/or incorporating some key claims/points but failing to explain the reasoning behind them or doing so inaccurately. Elements of the required response may also be lacking. |
40 points out of 50: The essay illustrates solid understanding of the relevant material by correctly addressing most of the relevant content; identifying and explaining most of the key concepts/ideas; using correct terminology; explaining the reasoning behind most of the key points/claims; and/or where necessary or useful, substantiating some points with accurate examples. The answer is complete. |
50 points: The essay illustrates exemplary understanding of the relevant material by thoroughly and correctly addressing the relevant content; identifying and explaining all of the key concepts/ideas; using correct terminology explaining the reasoning behind key points/claims and substantiating, as necessary/useful, points with several accurate and illuminating examples. No aspects of the required answer are missing. |
Use of Sources (worth a maximum of 20% of the total points). |
Zero points: Student failed to include citations and/or references. Or the student failed to submit a final paper. |
5 out 20 points: Sources are seldom cited to support statements and/or format of citations are not recognizable as APA 6th Edition format. There are major errors in the formation of the references and citations. And/or there is a major reliance on highly questionable. The Student fails to provide an adequate synthesis of research collected for the paper. |
10 out 20 points: References to scholarly sources are occasionally given; many statements seem unsubstantiated. Frequent errors in APA 6th Edition format, leaving the reader confused about the source of the information. There are significant errors of the formation in the references and citations. And/or there is a significant use of highly questionable sources. |
15 out 20 points: Credible Scholarly sources are used effectively support claims and are, for the most part, clear and fairly represented. APA 6th Edition is used with only a few minor errors. There are minor errors in reference and/or citations. And/or there is some use of questionable sources. |
20 points: Credible scholarly sources are used to give compelling evidence to support claims and are clearly and fairly represented. APA 6th Edition format is used accurately and consistently. The student uses above the maximum required references in the development of the assignment. |
Grammar (worth maximum of 20% of total points) |
Zero points: Student failed to submit the final paper. |
5 points out of 20: The paper does not communicate ideas/points clearly due to inappropriate use of terminology and vague language; thoughts and sentences are disjointed or incomprehensible; organization lacking; and/or numerous grammatical, spelling/punctuation errors |
10 points out 20: The paper is often unclear and difficult to follow due to some inappropriate terminology and/or vague language; ideas may be fragmented, wandering and/or repetitive; poor organization; and/or some grammatical, spelling, punctuation errors |
15 points out of 20: The paper is mostly clear as a result of appropriate use of terminology and minimal vagueness; no tangents and no repetition; fairly good organization; almost perfect grammar, spelling, punctuation, and word usage. |
20 points: The paper is clear, concise, and a pleasure to read as a result of appropriate and precise use of terminology; total coherence of thoughts and presentation and logical organization; and the essay is error free. |
Structure of the Paper (worth 10% of total points) |
Zero points: Student failed to submit the final paper. |
3 points out of 10: Student needs to develop better formatting skills. The paper omits significant structural elements required for and APA 6th edition paper. Formatting of the paper has major flaws. The paper does not conform to APA 6th edition requirements whatsoever. |
5 points out of 10: Appearance of final paper demonstrates the student’s limited ability to format the paper. There are significant errors in formatting and/or the total omission of major components of an APA 6th edition paper. They can include the omission of the cover page, abstract, and page numbers. Additionally the page has major formatting issues with spacing or paragraph formation. Font size might not conform to size requirements. The student also significantly writes too large or too short of and paper |
7 points out of 10: Research paper presents an above-average use of formatting skills. The paper has slight errors within the paper. This can include small errors or omissions with the cover page, abstract, page number, and headers. There could be also slight formatting issues with the document spacing or the font Additionally the paper might slightly exceed or undershoot the specific number of required written pages for the assignment. |
10 points: Student provides a high-caliber, formatted paper. This includes an APA 6th edition cover page, abstract, page number, headers and is double spaced in 12’ Times Roman Font. Additionally, the paper conforms to the specific number of required written pages and neither goes over or under the specified length of the paper. |
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Big Data Processing and Analytics
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