Cloud Computing and analytics

Cloud Computing and analytics

Registration ID: IJNRD_192302

Published ID: IJNRD2305234

DOI: Click Here to Get

Akriti Srivastav

cloud computing, analytics, cloud providers

ABSTRACT The amount of data being generated in today's fast-paced digital world is expanding at an unpredictable rate, with no prospect of slowing down any time soon, posing challenges for data storage, data security, data processing, and data analysis. Cloud computing and analytics were developed as a response to this problem. Businesses and other organizations' approaches to data management and analysis have been completely transformed by the advent of cloud computing and analytics. Cloud computing is a method of sharing computing resources over the Internet to facilitate widespread network access. This new cloud computing technology is built on top of the established grid computing system, and it provides a different information and service delivery mechanism. Computing resources, such as data storage, processing power, and application software, are made available to users over the internet in the form of "the cloud," which they may then access and utilize from wherever they have an internet connection. However, analytics is the practice of analyzing data to draw conclusions and choose actions. Analytics may help businesses make more informed decisions and enhance their operations by sifting through the massive amounts of data produced by cloud computing. The evolution of cloud computing analytics has been a significant aspect of the growth and development of cloud computing technology. In the early days of cloud computing, organizations used cloud-based storage and processing power to store and manage data, but analytics capabilities were limited. As cloud computing technology matured, cloud-based analytics solutions emerged, providing organizations with powerful analytical tools to analyze and gain insights from their data. Several giant firms have been at the forefront of using cloud computing analytics in recent years, helping to drive the evolution of this technology. Amazon Web Services (AWS) provides a range of cloud-based analytics tools, including Amazon Redshift, Amazon QuickSight, and Amazon Kinesis. These tools enable organizations to store, analyze, and visualize large amounts of data in real time, providing valuable insights to improve operations and customer experience. In addition, the cloud computing infrastructure allows businesses to reduce the cost of purchasing and maintaining their infrastructure. Instead of investing in hardware and servers, businesses can rent computing resources from these cloud service providers and pay only for what they use.

Published Paper   E-Certificate

"Cloud Computing and analytics", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 5, page no.c248-c252, May-2023, Available :https://ijnrd.org/papers/IJNRD2305234.pdf

Volume 8 Issue 5, May-2023

Pages : c248-c252

Paper Reg. ID: IJNRD_192302

Published Paper Id: IJNRD2305234

Downloads: 000121157

Research Area: Management

Country: East Delhi, DELHI, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305234.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305234

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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