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117 articles for “Big Data Management”
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An Integrative Approach to Implementing Green Cloud Computing, Artificial Intelligence, and Big Data Management in Modern Library Systems
Abstract: The expansion of digital resources and the integration of emerging technologies have significantly transformed modern library systems. With the rise in digital collections, libraries are now dealing with a vast amount of data that needs efficient management and storage. This research will explore the role and benefits of leveraging green cloud computing, artificial intelligence, and big data management to improve efficiency and sustainability in library science. This research explores the …
Published in Recent Trends in Parallel Computing · Vol. 10, Issue 3, 2023 · pp. 30–35 Read article
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Big Data Management: Theory & Practice
Abstract: In this paper, Big Data Management is studied. There is finite number of information in Big Data and correspondingly its method of analysis exists. Big Data Analysis (BDA) method is proposed in this paper. A compact method (K-Means Cluster, Generalised K-Means Cluster, C-Means, Fuzzy Means, Fuzzy Numbers, Fuzzy Set, Fuzzy Logic, Neural Network, Genetic Algorithm) based big data analysis is presented in this paper. There are four models are presented …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 7, Issue 2, 2020 · pp. 13–22 Read article
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Big Data and HR Analytics in Talent Management: A Study
Abstract: The discussion of the potential talent analytics provides HR practitioners is the goal of this article. The ability to analyses enormous volumes of data has become much more accessible over decades, and businesses are now using talent analytics to manage their workforce. There will be a lot of studies on how talent analytics may improve organizational decision-making. Majority of businesses use databases to hold complex data. A database is a …
Published in Recent Trends in Parallel Computing · Vol. 9, Issue 3, 2022 · pp. 16–25 Read article
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The Future of Multi-cloud Infrastructures in Data Engineering for Challenge of Handling Large and Dynamic Datasets
Abstract: This paper explores the future of multi-cloud infrastructures in data engineering for the challenge of handling large and dynamic datasets. It delves into the opportunities and challenges presented by multi-clouds, focusing on their role in managing large volumes of data and complex computational tasks. The paper discusses the advantages of multi-clouds, such as manageability, flexibility, and cost-effectiveness, and their potential to enhance the efficiency and accuracy of recommender systems. It …
Published in Recent Trends in Parallel Computing · Vol. 10, Issue 3, 2023 · pp. 18–23 Read article
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AI and Big Data for Optimized Water Resource Management in Arid Regions
Abstract: Water scarcity in arid regions is an escalating global challenge, driven by climate change, population growth, and increasing demands from urban, industrial, and agricultural sectors. Effective water resource management (WRM) is crucial for sustaining livelihoods, economic stability, and infrastructure resilience. Emerging technologies such as artificial intelligence (AI), machine learning (ML), and big data offer innovative solutions for optimizing water use, enhancing efficiency, and improving sustainability in water-scarce environments. This paper …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 1–5 Read article
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Big Data Application in Manufacturing and Supply Chain Management: A Comprehensive Review
Abstract: This review paper synthesizes findings from ten recent studies on the application of big data analytics in manufacturing, supply chain management, and related fields. The papers examined cover a range of topics including sustainable manufacturing, green supply chain management, predictive maintenance, and semiconductor manufacturing. This review aims to provide a comprehensive overview of the current state of research in these areas, highlighting key trends, methodologies, and opportunities for future work. …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 1, 2025 · pp. 8–17 Read article
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Emerging Technologies Big Data and Cloud
Abstract: Cloud computing is a effective and rising generation to carry out large and complicated computing. It affords a such an surroundings that's reliable & fault tolerant to haven massive information disbursed control systems. Big statistics refers back to the incapacity of vintage statistics architectures to address new statistics units efficiently. In the current times, exceptional boom has been determined in massive statistics domain, generated thru cloud computing. Big statistics remedy …
Published in Current Trends in Information Technology · Vol. 11, Issue 2, 2021 · pp. 16–22 Read article
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Redefining Efficiency: Big Data Science in Supply Chain Design and Management
Abstract: The combination of resources, tools, and applications in the field of supply chain management (SCM) is rapidly expanding, creating both opportunities and challenges. The term "big data" is commonly used to refer to the large and complex sets of data that are now available. These data are believed to have the potential to improve decision making and increase profitability. To effectively analyze and utilize these data, new methods of data …
Published in Journal of Production Research & Management · Vol. 13, Issue 1, 2023 · pp. 6–10 Read article
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A Review of Techniques for Securing Big Data Integrated with Cloud
Abstract: AbstractIn the era of big data and cloud computing, which are the most sophisticated technologies individually with enormous potential; these technologies when integrated can extend themselves seamlessly to solve complicated problems of day-today life. We generate enormous amount of precious data every second related to personal, business to professional field through our digital lives. Big data perfectly fits in this scenario to help us to store, process and manage this …
Published in Journal of Advanced Database Management & Systems · Vol. 7, Issue 3, 2020 · pp. 34–40 Read article
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Transforming Healthcare Through Big Data: Applications, Challenges, and Future Perspectives
Abstract: Healthcare institutions produce substantial amounts of information through electronic health records, laboratory systems, medical imaging technologies, patient monitoring devices, and various digital healthcare platforms. Managing and interpreting these continuously growing datasets through conventional approaches can be difficult and time-consuming. Big Data technologies offer advanced methods for storing, processing, and analyzing healthcare information efficiently, enabling healthcare professionals to obtain valuable insights for clinical and administrative purposes. This review explores the growing …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 2, 2026 · pp. 1–9 Read article
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TensorFlow-Based Big Data Analytics for IoT Networks: A Study
Abstract: Internet of Things (IoT) has exploded in recent years, connecting billions of devices generating massive amounts of data. This deluge presents both a significant opportunity and a considerable challenge. While the potential insights hidden within this data are transformative, customary data processing techniques frequently fall short when handled with the velocity, volume, and variety of IoT-generated data. This is where Big Data technologies step in, offering the tools and infrastructure …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 1, 2025 · pp. 31–38 Read article
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A Review on Big Data
Abstract: AbstractThe goal of Big Data is to help organizations make better business decisions based on information by enabling researchers, data scientists and other analytics professionals to analyze large volumes of operational data, as well as other forms of data that may not be discovered by conventional Business Intelligence (BI) programs. This gives rise to the need for an analytical review of recent developments in the big data technology. Cloud services …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 3, 2016 · pp. 1–7 Read article
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Web Mapping Comparison of Open Layers Map and Google Map: A Web GIS based Big Spatial Data Approach
Abstract: Big data sharing and manipulation of geospatial data such a GIS web-based system has become a challenge. Due to the rapid development technology in web based geographical information systems, the uses of web based geospatial application, effective utilization and representation varies from Geo-spatial capabilities and functionalities. In this paper, a web GIS framework was explored to provide a practical solution for the display and manipulations of geospatial data, visualization of …
Published in Journal of Geotechnical Engineering · Vol. 2, Issue 3, 2015 · pp. 41–45 Read article
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Open Flow Network Visualization Software
Abstract: Traditional IP network infrastructure is merely static, rather than flexible. Due to the advent of Cloud technologies, future networks of machine-to-machine (M2M)/Internet of Things (IoT) and the mobile devices generating Big Data, it has become very difficult for network managers to configure and monitor the ever-changing network dynamically. Recently, the concept of Software-Defined Network (SDN), which allows us to administer and configure a network in a centralized and programmable manner, …
Published in Journal of Advances in Shell Programming · Vol. 1, Issue 1, 2014 · pp. 13–17 Read article
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Supply Chain Optimization Using Big Data
Abstract: In the references to add productivity and short the appendences, and increase customer value, supply chain optimization is a very crucial part of contemporary business operations. Supply chain management has been transformed by the emergence of big data, which can provide analysis and insight from many different sources of information. This content explores the importance of using big data analytics to improve the delivery process. Thanks to the evolution of …
Published in Journal of Production Research & Management · Vol. 14, Issue 2, 2024 · pp. 19–25 Read article
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Harnessing the Power of Big Data for Personalized Marketing
Abstract: In today’s digital age, big data has revolutionized the way businesses engage with customers, driving a shift from traditional blanket marketing strategies to highly personalized campaigns. By examining large volumes of data gathered from various sources like social media, websites, and transaction records, companies can gain valuable insights into consumer behavior, preferences, and buying patterns. Personalized marketing leverages these insights into craft-tailored experiences that resonate with individual customers. For instance, …
Published in Current Trends in Information Technology · Vol. 15, Issue 1, 2025 · pp. 19–22 Read article
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Big Data in Chemistry: Problems and Answers
Abstract: The rapid growth of experimental and computational chemistry data, researchers now have access to vast datasets, presenting both significant opportunities and challenges. This paper explores the primary challenges associated with managing, processing, and utilizing big data in chemistry, including data heterogeneity, integration across various scales and systems, lack of standardized formats, and the need for advanced tools for data analysis. Additionally, the paper discusses the ethical concerns of data ownership, …
Published in International Journal of Cheminformatics · Vol. 2, Issue 1, 2024 · pp. 9–14 Read article
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Technicalities and Tools for Big Data Analysis
Abstract: Before becoming relevant knowledge and information that can assist management in making decisions, data has no purpose. Numerous top-notch big data applications are available to help with this. In this study we discuss about the mostly used open source tools and techniques used for analysing big data. People started to understand how much data users were producing through Facebook, YouTube, and other online services around 2005. Hadoop, an open-source platform …
Published in Current Trends in Information Technology · Vol. 12, Issue 2, 2022 · pp. 12–20 Read article
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Evaluating Advancements and Identifying Research Gaps in Automotive Spare Parts Demand Forecasting
Abstract: The automotive industry, a key driver of global economic activity, relies heavily on the effective management of spare parts to ensure vehicle longevity and reliability. Accurate prediction of demand for these components is imperative to uphold ideal stock levels, minimize expenditures, and elevate customer contentment. This review of literature assesses recent progressions in demand prediction methodologies for automotive spare parts, with a specific emphasis on conventional statistical methods and contemporary …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 47–58 Read article
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Internet of Things Data Semantics
Abstract: AbstractInternet of Things (IoT) is the latest phenomenon and this revolution in technology may exceed the industrial revolution. Merging internet and things, making them work together, we have developed a powerful technology, called The Internet of Things (IoT). Apart from smart phones and computers, today we have many other devices which are able to communicate through internet like door opener, automated sprinklers, automatic water quality sensors, ATM machines, robotic cars …
Published in Journal of Web Engineering & Technology · Vol. 4, Issue 2, 2017 · pp. 15–21 Read article