Authors :
Mukkala Siva Sankar; Ajay Gopal Namburu; Narendra Darla; Hemanth Perni; E.Vamsidhar
Volume/Issue :
Volume 9 - 2024, Issue 6 - June
Google Scholar :
https://tinyurl.com/5dtwne6j
Scribd :
https://tinyurl.com/seku37ka
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24JUN1949
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
This study is all about the importance- of
methods in big data study, and what they might mean
for future- digital growth projects. The rese-arch
explores current patte-rns, issues, and smart plans. This
gives valuable information for groups figuring out the-
tricky mixture of data study and digital growth. The
focus of the pape-r is on important methods like batch
handling, stream handling, and machine- learning. It
looks at their strengths, limits, and use-s. We see the-ir
effects on growing and improving. We fore-cast future
patterns, tackle issue-s and suggest inventive solutions
for succe-ss. This research acts like a guide- for groups
that want to line up their digital changes with the- best
methods for continuous success.
Keywords :
Big Data Analytics, Digital Transformation, Scalability, Sustainability, Challenges.
References :
- X. Zhao and S. Guan, "A subspace recursive and selective feature transformation method for classification tasks", Big Data Analytics, vol. 2, no. 1, 2017.
- P. Kostakis and A. Kargas, "Big-Data Management: A Driver for Digital Transformation?", Information, vol. 12, no. 10, pp. 411, 2021.
- C. Chakraborty, M. Khan and I. Ahmad, "Call for Special Issue Papers: Big Data-Driven Futuristic Fabric System in Societal Digital Transformation", Big Data, vol. 9, no. 4, pp. 324-325, 2021.
- C. Chakraborty, M. Khan and I. Ahmad, "Call for Special Issue Papers: Big Data-Driven Futuristic Fabric System in Societal Digital Transformation", Big Data, vol. 9, no. 3, pp. 151-152, 2021.
- C. Moturi, V. Okemwa and D. Orwa, "Big data analytics capability for digital transformation in the insurance sector", International Journal of Big Data Management, vol. 2, no. 1, pp. 42, 2022.
- Y. GEDK, "A NEW WINDOW IN MARKETING: DIGITAL MARKETING", Journal of Business in The Digital Age, pp. 63-75, 2020.
- D. Fortin, "Global Marketing for the Digital Age20002Bill Bishop. Global Marketing for the Digital Age. Illinois: Lincolnwood 1999. 270pp. \$34.95", Journal of Consumer Marketing, vol. 17, no. 4, pp. 358-372.
- D. Fortin, "Global Marketing for the Digital Age20002Bill Bishop. Global Marketing for the Digital Age. Illinois: Lincolnwood 1999. 270pp. \$34.95", Journal of Consumer Marketing, vol. 17, no. 4, pp. 358-372.
- D. B, "Facebook as Tool of Marketing in the Era of Digital Marketing", International Journal of Psychosocial Rehabilitation, vol. 24, no. 5, pp. 957-964, 2020.
- B. Schuchmann and A. Figueira, "Do marketing tradicional ao marketing digital uma anlise a partir dos programas de marketing digital online", Business Journal, vol. 2, no. 2, pp. 1-12, 2020.
- J. Wolny, "Marketing transformations: Re-thinking marketing digital first", Journal of Direct Data and Digital Marketing Practice, vol. 16, no. 2, pp. 150-151, 2014.
- K. Ramko and M. Jarosch, "Digital Marketing Digital marketing redux: Pharmaceuticals take a second look at e-detailing", Journal of Medical Marketing, vol. 5, no. 2, pp. 134-136, 2005.
- A. Jain and A.K. Pandey, "ModelingAndOptimizingOfDifferentQual ityCharacteristicsInElectricalDischargeDrillingOfTitaniumAlloy(Gra", MaterialTodayProceedings, vol. 18, pp. 182-191, 2019
- J. Hurwitz, M. Kaufman, A. Bowles, A. Nugent, J. G. Kobielus and M. D. Kowolenko, Cognitive Computing and Big Data Analytics, Hoboken, NJ, USA:Wiley, 2015.
- S. Fan, R. Y. K. Lau and J. L. Zhao, "Demystifying big data analytics for business intelligence through the lens of marketing mix", Big Data Res., vol. 2, no. 1, pp. 28-32, Mar. 2015.
- M. Bala and D. Verma, "A critical review of digital marketing", Int. J. Manag. IT Eng., vol. 8, no. 10, pp. 321-339, 2018.
This study is all about the importance- of
methods in big data study, and what they might mean
for future- digital growth projects. The rese-arch
explores current patte-rns, issues, and smart plans. This
gives valuable information for groups figuring out the-
tricky mixture of data study and digital growth. The
focus of the pape-r is on important methods like batch
handling, stream handling, and machine- learning. It
looks at their strengths, limits, and use-s. We see the-ir
effects on growing and improving. We fore-cast future
patterns, tackle issue-s and suggest inventive solutions
for succe-ss. This research acts like a guide- for groups
that want to line up their digital changes with the- best
methods for continuous success.
Keywords :
Big Data Analytics, Digital Transformation, Scalability, Sustainability, Challenges.