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  Summary Page: Big Data Opportunities and Challenges

Big Data Opportunities and Challenges






Big Data requires a holistic approach and a change to regular working practices. This course covers the way teams work in Big Data organizations, some projects and use cases for Big Data, and challenges and opportunities that Big Data presents.


IT engineers, programmers, and DBAs working with or interested in Big Data, as well as business decision makers interested in implementing or managing Big Data systems


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Big Data Teams

  • list the team members in a Big Data team, and describe their interrelationship
  • list the team members in a Big Data business team, and describe their interrelationship
  • list the team members in a Big Data analytics team, and describe their interrelationship
  • list the team members in a Big Data architects team, and describe their interrelationship
  • list the team members in a Big Data Hadoop operators team, and describe their interrelationship
  • describe the factors impacting Big Data teams
  • Big Data Projects

  • describe DIY supercomputing Big Data projects
  • describe the use of Hadoop in cloud computing
  • describe data warehousing for Big Data
  • identify the key factors in the costs of Big Data
  • assess relational database management systems in the context of Big Data
  • assess Big Data infrastructure projects
  • Big Data Use Cases

  • describe data mining
  • describe Big Data recommendation engines
  • describe common use cases for Big Data analytics
  • describe the global impact of Big Data
  • Opportunities and Challenges

  • describe the global increase in produced data volume
  • list the main companies involved in Big Data
  • identify Big Data business opportunities
  • describe the Big Data physical challenges to be overcome
  • describe the privacy and security challenges of Big Data
  • describe the required planning activities for Big Data
  • describe Big Data industry trends

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