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Course: Big Data Analysis

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Fall 2013

The deadline for the Pagerank assignment has been extended. I have sent a notification to all students, but for some of you, the email bounced. Make sure your nyu.edu email is working.

This schedule is tentative and subject to change

Make sure to check my.poly.edu for course announcements

News

The deadline is Nov 15th. Please make sure that you have your correct name and Poly ID in your Gradiance account.

For frequently asked questions about the course and homework assignments, please check our BigDataAnalysisFAQ.

Week 1: Monday Sept. 9th - Course Overview

Required Reading

Additional References

Week 2: Monday Sept. 16th - Map-Reduce/Hadoop

Assignment

  • cs9223 Mapreduce Assignment
  • This is an individual assignment. You may not collude with any other individual, or plagiarise their work.

For more details see http://cis.poly.edu/policies.

  • You assignment is due on Sun Sept 29th. Make sure you can login and access my.poly.edu!
  • If you have questions about the assignment, we will hold office hours on Sept 23, 2013 from 2:30-3:30pm at 2 Metrotech, room 10.018

Required Reading

Week 3: Monday Sept. 23rd - Data Management for Big Data

Related Topics

Required Reading

Additional References

Week 4: Monday Sept 30th - Invited lecture by Dr. C. Mohan (IBM)

  • Note that we will meet at a different location: NYU CUSP, 1 Metrotech Center, 19th floor
  • Abstract: This tutorial is targeted at a broad set of database systems and applications people. It is intended to let the attendees better appreciate what is really behind the covers of many of the modern database systems (e.g., NoSQL and NewSQL systems), going beyond the hype associated with these open source and commercial systems. The capabilities and limitations of such systems will be addressed. Modern extensions to decades old relational DBMSs will also be described. Some application case studies will also be presented. An outline of problems for which no adequate solutions exist will be included. Such problems could be fertile grounds for new research work.
  • Presenter: Dr. C. Mohan, IBM Fellow, IBM Almaden Research Center, San Jose, CA 95120, USA.
  • Bio: Dr. C. Mohan has been an IBM researcher for 31 years in the information management area, impacting numerous IBM and non-IBM products, the research community and standards, especially with his invention of the ARIES family of locking and recovery algorithms, and the Presumed Abort commit protocol. This IBM, ACM and IEEE Fellow has also served as the IBM India Chief Scientist. In addition to receiving the ACM SIGMOD Innovation Award, the VLDB 10 Year Best Paper Award and numerous IBM awards, he has been elected to the US and Indian National Academies of Engineering, and has been named an IBM Master Inventor. This distinguished alumnus of IIT Madras received his PhD at the University of Texas at Austin. He is an inventor of 38 patents. He serves on the advisory board of IEEE Spectrum and on the IBM Software Group Architecture Board’s Council. More information can be found in his home page at http://bit.ly/CMohan

Week 5: Monday Oct. 7th - Query Processing on Mapreduce and High-level Languages

Required Reading

Additional References

Week 6: Mon Oct. 14th - Fall Break - No class

Week 6: Wed Oct. 16th - Fall Break - Make-up class


Week 7: Monday Oct. 21st - Invited Speaker: Alberto Lerner

  • Inside MongoDB

Week 8: Monday Oct 28th- Statistics is easy - Invited Speaker: Dennis Shasha

Required Reading


  • We will cover the material planned for "Week 10: Monday Nov. 11th": Finding Similar Items

Week 9: Monday Nov. 4th - Finding Similar Items, Information Integration

Required Reading

Homework Assignment

Due Nov 15th, 2013 Your assignment is in http://www.newgradiance.com/services. Please see http://vgc.poly.edu/~juliana/courses/cs9223 for instructions on how to access this service.

Week 10: Monday Nov. 11th - MapReduce Algorithm Design

Required Reading

  • Chapters 3 and 4 in textbook: Data-Intensive Text Processing with MapReduce, by Lin and Dyer

Homework Assignment

Due Nov 15th, 2013 Your assignment is in http://www.newgradiance.com/services. Please see http://vgc.poly.edu/~juliana/courses/cs9223 for instructions on how to access this service.

Week 11: Monday Nov 18th- MapReduce Algorithm Design and Graph Processing

Homework Assignment

Your Mapreduce/Pig assignment is available from Blackboard. It is Due December 1st.


Required Reading

Additional Reading

Week 12: Monday Nov. 25th - Large-Scale Visualization

  • Invited lectures by:
    • Dr. Lauro Lins (AT&T Research)
    • Dr. Huy Vo (NYU Center for Urban Science and Progress)


Required Reading

The Value of Visualization, Jarke Van Wijk http://www.win.tue.nl/~vanwijk/vov.pdf

Tamara Munzner's Book draft 2 available online http://www.cs.ubc.ca/~tmm/courses/533/book/

Nanocubes Paper http://nanocubes.net http://nanocubes.net/assets/pdf/nanocubes_paper_preprint.pdf

Additional Reading

imMens Paper (to contrast with nanocubes) http://vis.stanford.edu/papers/immens


Week 13: Monday Dec. 2nd - Frequent Itemsets

Additional Reading

Optional Quiz

Due Dec 9th

Week 14: Monday Dec. 9th - - EM and exam review

Readings

Data-Intensive Text Processing with MapReduce, Chapter 6 (EM Algorithms for Text Processing)

Week 15 Monday Dec. 16th - Final Exam

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