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The Obstacles in Big Data Process
7 references·1 citing·20 second hop
The Obstacles in Big Data Process (2017)The Obstacles in Big Data ProcessBig Data: Using SMART Big Data, Analytics and Metrics To Make Better Decisions and Improve Performance (2015)Big Data: Using SMART Big Dat…Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)Data-intensive applications, …How to use Big Data technologies to optimize operations in Upstream Petroleum Industry (2013)How to use Big Data technolog…From Databases to Big Data (2012)From Databases to Big DataChallenges and opportunities with big data (2012)Challenges and opportunities …Business Intelligence and Analytics: From Big Data to Big Impact (2012)Business Intelligence and Ana…Big data: The next frontier for innovation, competition, and productivity (2011)Big data: The next frontier f…Big Data Analytics (2019)Big Data AnalyticsThe Digital Universe in 2020: Big Data, Bigger Digital Shadows, and Biggest Growth in the Far East (2012)Big Data Paradigm: What is the Status of Privacy and Security? (2017)Human resources for Big Data professions: A systematic classification of job roles and required skill sets (2017)Scientific literature analysis on big data and internet of things applications on circular economy: a bibliometric study (2017)Sports analytics — Evaluation of basketball players and team performance (2020)Beyond the hype: Big data concepts, methods, and analytics (2014)Big Data: A Survey (2014)Big Data: Survey, Technologies, Opportunities, and Challenges (2014)A Brief Introduction on Big Data 5Vs Characteristics and Hadoop Technology (2015)Big Data and Data Science Methods for Management Research (2016)Critical analysis of Big Data challenges and analytical methods (2016)A survey on deep learning for big data (2017)Machine Learning With Big Data: Challenges and Approaches (2017)Big Data: a big opportunity for the petroleum and petrochemical industry (2018)Sustainability of operations through disruptive technologies in the petroleum supply chain (2021)A Comprehensive Review on Big Data for Industries: Challenges and Opportunities (2022)Understanding Customer Experience Throughout the Customer Journey (2016)Digital transformation: A multidisciplinary reflection and research agenda (2019)Toward Scalable Systems for Big Data Analytics: A Technology Tutorial (2014)Big Data and cloud computing: innovation opportunities and challenges (2016)
this work references cited by second hop

References

  • 2012Business Intelligence and Analytics: From Big Data to Big Impact6,241 cited
  • 2011Big data: The next frontier for innovation, competition, and productivity5,202 cited
  • 2014Data-intensive applications, challenges, techniques and technologies: A survey on Big Data3,046 cited
  • 2012Challenges and opportunities with big data1,068 cited
  • 2012From Databases to Big Data509 cited
  • 2015Big Data: Using SMART Big Data, Analytics and Metrics To Make Better Decisions and Improve Performance307 cited
  • 2013How to use Big Data technologies to optimize operations in Upstream Petroleum Industry72 cited

Cited by

  • 2019Big Data Analytics10 cited

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