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.

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