Difference between revisions of "Course: Massive Data Analysis 2014"

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* Homework assignment: [[Assignment 2 - Data Exploration using SQL]]
* Homework assignment: [[Assignment 2 - Data Exploration using SQL]]


= Big Data Foundations and Infrastructure (2 weeks) =
= Big Data Foundations and Infrastructure (3 weeks) =


== Week 5 -- Oct 6: Cloud computing, Map Reduce and  Hadoop ==
== Week 5 -- Oct 6: Cloud computing, Map Reduce and  Hadoop ==
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* Homework Assignment -- Your first quiz is available on [http://www.newgradiance.com Gradiance]. It is ''due on March 17th at 5pm.''
* Homework Assignment -- Your first quiz is available on [http://www.newgradiance.com Gradiance]. It is ''due on March 17th at 5pm.''


== Week 6 -- Oct  13: Algorithm Design for MapReduce  ==
== Week 6 -- Oct  13: Fall Break ==
 
 
 
== Week 7 -- Oct  20: Algorithm Design for MapReduce  ==


* Lecture notes:   
* Lecture notes:   
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= Machine Learning and Big Data  (3 weeks) =
== Week 8 -- Oct 27: Parallel Databases vs MapReduce, Query Processing on Mapreduce and High-level Languages ==
 
== Week 7 -- Oct  20: Hashing and AllReduce ==
* Invited lecture by John Langford
 
* Lecture notes:
** http://vgc.poly.edu/~juliana/courses/BigData2014/Lectures/langford_hashing_2014.pdf
** http://vgc.poly.edu/~juliana/courses/BigData2014/Lectures/langford_parallel_learning_2014.pdf
** http://cilvr.cs.nyu.edu/diglib/lsml/lecture08-hashing.pdf
** http://cilvr.cs.nyu.edu/diglib/lsml/lecture04-allreduce.pdf
 
* Homework assignment: [[Assignment 3 - MapReduce algorithm design]]
 
== Week 8 -- Oct 27: Bandits ==
* Invited lecture by John Langford
 
* Lecture notes:
** http://vgc.poly.edu/~juliana/courses/BigData2014/Lectures/langford_interact.pdf
** http://cilvr.cs.nyu.edu/diglib/lsml/lecture10_using_exploration.pdf
** http://cilvr.cs.nyu.edu/diglib/lsml/lecture10_doing_exploration.pdf
 
== Week 9 -- Nov 3: Large Scale Machine Learning in the Real World ==
* Invited lecture by Leon Bottou
 
* Lecture notes:
** http://vgc.poly.edu/~juliana/courses/BigData2014/Lectures/bottou-ml-real-world.pdf
** http://cilvr.cs.nyu.edu/diglib/lsml/lecture09-ads-bottou.pdf
** http://cilvr.cs.nyu.edu/diglib/lsml/lecture11-ads-bottou.pdf
 
= Big Data Foundations and Infrastructure -- cont. (2 weeks) =
 
== Week 10 -- Nov 10:  Parallel Databases vs MapReduce, Query Processing on Mapreduce and High-level Languages ==


* Lecture notes:
* Lecture notes:
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** Pig Latin: A Not-So-Foreign Language for Data Processing: http://pages.cs.brandeis.edu/~olga/cs228/Reading%20List_files/piglatin.pdf
** Pig Latin: A Not-So-Foreign Language for Data Processing: http://pages.cs.brandeis.edu/~olga/cs228/Reading%20List_files/piglatin.pdf
** Hive - A Warehousing Solution Over a Map-Reduce Framework: http://www.vldb.org/pvldb/2/vldb09-938.pdf
** Hive - A Warehousing Solution Over a Map-Reduce Framework: http://www.vldb.org/pvldb/2/vldb09-938.pdf


= Big Data Algorithms and Techniques (3 weeks) =
= Big Data Algorithms and Techniques (3 weeks) =


== Week 11 -- Nov 17: Data Management for Big Data (cont) and Association Rules  ==
== Week 9 -- Nov 3: Association Rules  ==


* Lecture notes:
* Lecture notes:
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* Homework Assignment -- Your  quiz is available on [http://www.newgradiance.com Gradiance]. It is ''due on April  28th.''
* Homework Assignment -- Your  quiz is available on [http://www.newgradiance.com Gradiance]. It is ''due on April  28th.''


== Week 12 -- Nov 25: Finding similar items: Invited lecture by Dr. Harish Doraiswami  ==
 
 
 
== Week 10 -- Nov 10: Finding similar items ==


* Lecture notes:
* Lecture notes:
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** Your final assignment is available at http://www.vistrails.org/index.php/Assignment_4_-_Querying_with_Pig_and_Mapreduce. This is an optional assignment and will count towards extra credit
** Your final assignment is available at http://www.vistrails.org/index.php/Assignment_4_-_Querying_with_Pig_and_Mapreduce. This is an optional assignment and will count towards extra credit


== Week 13 -- Dec 1: Graph Analysis and Exam Review ==
 
== Week 11 -- Nov 17: Graph Analysis ==


* Lecture notes:
* Lecture notes:
** http://vgc.poly.edu/~juliana/courses/BigData2014/Lectures/graph-algos.pdf
** http://vgc.poly.edu/~juliana/courses/BigData2014/Lectures/graph-algos.pdf
** http://vgc.poly.edu/~juliana/courses/BigData2014/Lectures/exam-review.pdf
== Week 14 -- Dec 8: Final Exam  ==




== Week 15 -- Dec 15: Large-Scale Visualization -- Invited lecture by Dr. Lauro Lins (AT&T Research) ==
== Week 12 -- Nov 25: Large-Scale Visualization -- Invited lecture by Dr. Lauro Lins (AT&T Research) ==


* Lecture notes:
* Lecture notes:
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http://nanocubes.net
http://nanocubes.net
http://nanocubes.net/assets/pdf/nanocubes_paper_preprint.pdf
http://nanocubes.net/assets/pdf/nanocubes_paper_preprint.pdf
== Week 13 -- Dec 1:
== Week 14 -- Dec 8: Final Exam  ==
== Week 15 -- Dec 15:

Revision as of 02:05, 8 September 2014

CS-GY 6333 Massive Data Analysis: Tentative Schedule -- subject to change

  • Lecture: Mondays, 1:00pm-3:25pm at 2MTC, room 9.011.

News

  • Welcome!

Background (4 weeks)

Week 1 -- Sept 8: Course Overview; the evolution of Data Management

Week 2 -- Sept 15: Introduction to Databases

Week 3 -- Sept 22: Overview: Relational Model and SQL


Week 4 -- Sept 29: Overview: Advanced SQL and Query Optimization

Big Data Foundations and Infrastructure (3 weeks)

Week 5 -- Oct 6: Cloud computing, Map Reduce and Hadoop

  • Required reading:
    • Data-Intensive Text Processing with MapReduce, Chapters 1 and 2
    • Mining of Massive Datasets (2nd Edition), Chapter 2 - 2.1 and 2.2 (Large-Scale File Systems and Map-Reduce).
  • Homework Assignment -- Your first quiz is available on Gradiance. It is due on March 17th at 5pm.

Week 6 -- Oct 13: Fall Break

Week 7 -- Oct 20: Algorithm Design for MapReduce

  • Required reading:
    • Data-Intensive Text Processing with MapReduce, Chapters 1 and 2
    • Mining of Massive Datasets (2nd Edition), Chapter 2.


Week 8 -- Oct 27: Parallel Databases vs MapReduce, Query Processing on Mapreduce and High-level Languages



Big Data Algorithms and Techniques (3 weeks)

Week 9 -- Nov 3: Association Rules

  • Homework Assignment -- Your quiz is available on Gradiance. It is due on April 28th.



Week 10 -- Nov 10: Finding similar items


Week 11 -- Nov 17: Graph Analysis


Week 12 -- Nov 25: Large-Scale Visualization -- Invited lecture by Dr. Lauro Lins (AT&T Research)

  • 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


== Week 13 -- Dec 1:

Week 14 -- Dec 8: Final Exam

== Week 15 -- Dec 15:

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