1,720,955 research outputs found
Overview of Data Warehouse architecture, Big Data and Green computing
No full textEnterprise today heavily invests in big data, data warehouses, and green computing to measure performance and make intelligent decisions. By enabling data warehouse architecture, enterprises can store structural and nonstructural data in defined backend systems and transform amounts of data to perform various analyses and make business decisions that put companies on top of their competitors. Data is increasing daily, and businesses want to use all their data to perform advanced business analytics and machine learning and distribute data to their backend algorithms to evaluate and make decisions faster. However, the carbon footprints and global warming have alarmed these organizations to move towards green computing for a better future. Green computing focuses on designing energy-efficient systems, optimizing resource utilization, and reducing the CO2 emissions of data centers and IT infrastructure. This paper reviews how data warehouse architecture, big data, and green computing relate and addresses the challenges and opportunities in achieving sustainable and scalable data management solutions. By integrating energy-efficient practices into data warehouses and big data systems, organizations can make a huge difference globally and set an example for other industries to follow the green computing path. This paper helps to understand the new paradigm of big data and green computing, which helps achieve the best performance, reduce environmental impacts, and achieve the best standards
Impact of Blockchain and Big data on Global Economy
No full textBlockchain technology is making a huge difference in the global technology system where it proves better security than traditional system, gaining trust among users for transparency and solving many problems which the current economy is facing. Transaction being done via decentralized network has gasps attractions of many industries including shipping, healthcare and supply chain with less time and accuracy. The decentralized Finance system is solving problems including traditional banking accessibility in remote regions where banks are not available for transactions, Decentralized Finance (DeFi) which reduces cost of infrastructure and mankind by providing direct access to their asset and trade via internet. Although there are governments policies and regulations that are still not clear amongst many countries, even technology is for good but not able to use it due to limited knowledge and guidance. This paper explores how the global economy can be put in such a situation where new technology can not only help government bodies to tackle traditional finance challenges but also mitigate risks, tackle cybercrimes and increase transparency so that everyone across globe can feel secure about innovation in blockchain. This paper will also do analysis of how big data is making a difference in global economy and how government policies are affecting big data and blockchain technology
Fortune 1000 Companies Big Data Analytics Literature Review
No full textThis research analyzes Walmart\u27s significant facts analytics and commercial enterprise intelligence methodologies. The paper highlights both the employer\u27s strengths and issues and makes pointers for adjustments to be made concerning deployment and renovation by conducting a literature overview of associated publications. In every business industry, massive records analytics is becoming increasingly famous worldwide. Walmart places a high precedence on using considerable facts to improve operations, making it feasible to optimize in-shop experience and forecast product trends, amongst other matters. Olaniyi et al. (2023) studies shed light on the significance of contemporary facts analytics techniques, including MapReduce and Apache Spark, for the accomplishment of large information projects. Engagement and sentiment are each encouraged through the content of social media. Using information from social networks can be beneficial in predicting income, but it also offers demanding situations. Combining enterprise intelligence with massive facts analytics enhances overall performance and decision-making accuracy. Even though Walmart\u27s fulfillment in extensive records analytics is based on a data-driven lifestyle, security issues nonetheless want to be addressed. Olaniyi et al. (2023) observed that Fortune 1000 agencies put innovative solutions in force to improve their performance and the excellence of their client interactions; however, this usually requires a total amount of money. When it comes to maintaining a competitive advantage, investing in massive information analytics and business intelligence is necessary. Walmart\u27s fulfillment in massive records analytics may be attributed to the employer\u27s ethos of being statistics-pushed (Olaniyi et al., 2023)
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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