Clustering of Big Data in Cloud Environments for Smart Applications
New worries and difficulties in data management and analysis have arisen in response to the fast rise of big data in the IT sector. Common difficulties include those of scale, velocity, value, and complexity. By grouping similar items together, clustering simplifies the management of massive dataset...
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Format: | Buchkapitel |
Sprache: | eng |
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Zusammenfassung: | New worries and difficulties in data management and analysis have arisen in response to the fast rise of big data in the IT sector. Common difficulties include those of scale, velocity, value, and complexity. By grouping similar items together, clustering simplifies the management of massive datasets. Services such as servers, networking, software, storage, analytics, databases, and intelligence are all examples of "cloud computing," which refers to the delivery of these services through the Internet. Therefore, cloud-based clustering can lessen the time and energy needed to initiate, and it can provide a variety of services to improve the cluster's availability and security. Big data is useful for learning about consumers' desires and needs, which in turn improves the efficiency of the business's operations and makes it easier for customers to find the products they want, including in the education, entertainment, and energy sector. |
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DOI: | 10.1201/9781003319238-14 |