SAS Programming

Hadoop Essentials

March 17-18, 2014
San Diego Supercomputer Center (SDSC), UC San Diego Campus

In order to extract meaningful information from large amounts of data, organizations must be able to automatically store, organize, review and analyze it. Hadoop unlocks the actionable value in massive amounts of data, enabling organizations to answer unimaginable questions and improve business processes, customer analytics and products. Hadoop enables and complements existing technologies as an ideal platform to consolidate, process and analyze massive amounts of multi-structured data. As a result of the unique business value, the demand for Hadoop skills is growing rapidly.

Developed in partnership with the San Diego Supercomputer Center’s Predictive Analytics Center of Excellence (PACE), this two-day, hands-on training course is designed for data analysts, business intelligence specialists, developers, administrators or anyone who wants to quickly process massive and complex data directly in Hadoop.

Workshop Benefits

  • Explore the fundamentals of Hadoop, Hbase and Hadoop Distributed File System (HDFS) technologies while practicing on SDSC’s Gordon with the guidance of world-class instructors.
  • Learn how to choose technologies for the right architectural scenarios
  • Gain insights on how to approach architecture and design of Hadoop Cluster depending on project needs
  • PLUS…Receive a comprehensive tour the SDSC to discover its inner workings, extensive capabilities and current projects.


  • Natasha Balac, Ph.D., Director of PACE, SDSC, UC San Diego
  • Glenn Lockwood, Ph.D., Research Programmer/Analyst, SDSC, UC San Diego
  • Paul Rodriguez, Ph.D., Research Programmer/Analyst, SDSC, UC San Diego
  • Mahidhar Tatineni, Ph.D., Research Programmer/Analyst, SDSC, UC San Diego

Note: Students should have general knowledge of programming, systems concepts, data structures and algorithms.

Current UCSD students or staff will receive a 50% discount off the course fee. Please contact for enrollment instructions.

Course Number: CSE-41185   Credit: 2 units in Computer Science & Engineering

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Date | Time | Location | Instructor | Textbook

There are no sections of this course currently scheduled. Please contact the Science & Technology department at or for information about when this course will be offered again.