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BigData: Solving Real-World Problems with Big Data Analytics

EasyChair Preprint no. 10943

7 pagesDate: September 21, 2023


In an age marked by an unprecedented proliferation of digital information, "Solving
Real-World Problems with Big Data Analytics" stands as a beacon of insight into the
transformative potential of harnessing massive datasets to address pressing issues across
various domains. This abstract offers a glimpse into the comprehensive exploration of realworld problem-solving using Big Data analytics. This illuminating work navigates the terrain of
Big Data analytics, illuminating the pivotal role it plays in problem-solving across diverse
sectors. Through case studies and practical examples, this book showcases how organizations
and researchers have leveraged Big Data to derive actionable insights and innovative solutions.
"Solving Real-World Problems with Big Data Analytics" provides a roadmap for professionals,
researchers, and policymakers seeking to harness the potential of Big Data to solve complex
problems, drive innovation, and create a positive impact on society. This book serves as a vital
resource for those eager to explore the practical applications of Big Data analytics, from
improving healthcare outcomes to optimizing supply chain logistics, ultimately ushering in a
new era of data-driven problem-solving.

Keyphrases: Big Data, Data Analytic, Data Warehouse

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Lee Kasowaki},
  title = {BigData: Solving Real-World Problems with Big Data Analytics},
  howpublished = {EasyChair Preprint no. 10943},

  year = {EasyChair, 2023}}
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