Hadoop for Executives and Managers (HEM)

Course Description Schedule Course Outline

About this Course

Big Data is having a direct and rapid impact on most market sectors, and is predicted to be of ever-increasing relevance to the success of businesses and organizations adapting to today’s IT mega-trends and market realities. This ½ Day Seminar covers the brave new world of Big Data, benefits, business opportunities, challenges, technologies, and implementation stages required to drive a successful Big Data strategy.

Who should attend

Executives, IT Managers and investors who want to learn about Hadoop and Big Data

What You Will Learn

By the end of this course, you should be able to:

  • Review Big Data challenges, potential and benefits
  • Understand Hadoop’s role in Big Data and the roles of related technologies
  • Survey typical use cases in various industries
  • Get firm grip on phases of Big Data technologies adoption in the enterprise
  • Get a preview of the future of Hadoop and Big Data

Outline: Hadoop for Executives and Managers (HEM)

Big Data potential and benefits
  • What is Big Data?
  • Sources and Quantities
  • Challenges of processing
  • Technologies and Strategies
  • New ways of data thinking
  • Uses and benefits
  • Big Data players, their approaches
  • Untapped potential
Hadoop and Big Data technologies
  • History of Hadoop tools
  • Architectural Concepts
  • Who is using Hadoop
  • Hadoop skills and job market
  • Distributions and support
  • 8 practical Hadoop use cases
Typical use cases by Sector
  • Social networking
  • Marketing and advertising
  • Financial risk / insurance
  • Healthcare
  • Law enforcement
  • Sales and market analytics
  • Fraud detection
  • Litigation
  • Government and politics
  • Language, meaning, feeling
  • Human resources
Hadoop and Big Data adoption
  • Benefits: storage & processing
  • Hadoop ecosystem
  • Integration with Hadoop (BI tools, databases, visualization, etc.)
  • What is possible with Hadoop: batch / real time analysis, analytics
  • Competing and complementing technologies (Oracle, IBM, Microsoft, etc.)
  • Planning adoption: use cases, pilot projects, implementations
  • Key challenges of adopting Hadoop
  • Production and beyond
  • The role of iterative design and development
The Future of Big Data and Hadoop
  • Adoption trends
  • Hadoop developments/alternatives
  • What’s next for Big Data in general
Classroom Training
  • United States: US$ 950
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Online Training
  • United States: US$ 950
Enroll now