Course: Massive Data Analysis 2014

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

• Course Web page: http://cs.nyu.edu/courses/spring14/CSCI-GA.2568-001/index.html

• Instructor: Professor Juliana Freire (http://vgc.poly.edu/~juliana/)

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

News

• The final exam will take place on May 12th.

• We will have our last class on May 19th.

• 4/21/2014: There are two new quizes on gradiance. They are due on 2014-04-28 23:59 PST.

• Homework assignment 4 has been posted: Assignment 4 - Querying with Pig and Mapreduce

• Homework assignment 3 has been posted: Assignment 3 - MapReduce algorithm design
  • You can find instructions on how to log into the NYU Hadoop cluster at: http://vgc.poly.edu/~juliana/courses/BigData2014/Lectures/MapReduceExample/readme-nyu-hadoop.txt
  • I have created a list of frequently-asked questions which I hope will help you with your assignment: Assignment 3 - FAQ

• Your first assignment has been posted and it is due on Feb 17, 2014 5:00 pm. Here are the instructions: http://vistrails.org/index.php/Assignment_1_-_Data_Exploration

• I have sent a test email to the class list. If you have not received the message, make sure to sign up: http://www.cs.nyu.edu/mailman/listinfo/csci_ga_2568_001_sp14

• Starting on Feb 10th, our class will meet at a new location: Cantor 101

• We will have lab on Thu at CIWW, room 109. Bring your laptop!

Background (4 weeks)

Week 1 -- Jan 27: Course Overview; the evolution of Data Management

• Lecture notes: http://vgc.poly.edu/~juliana/courses/BigData2014/Lectures/course-overview.pdf
• Reading: Chapter 1 of Mining of Massive Data Sets (version 1.1)
• Course survey: https://docs.google.com/spreadsheet/embeddedform?formkey=dDRoTVcyMnRQUXhFUjl0cFFuTEVER1E6MA

Week 2 -- Feb 3: Introduction to Databases

• Lecture notes: http://vgc.poly.edu/~juliana/courses/BigData2014/Lectures/intro-to-db.pdf
• Other useful reading:
  • Greenspun's SQL for Web Nerds Intro
  • SQL/Nerds Modeling (parts)

• Feb 6: Lab: Data Exploration and Reproducibility ==
  • Lab notes 02/06/14

• Homework assignment: Assignment 1 - Data Exploration

Week 3 -- Feb 10: Overview: Relational Model and SQL

• Lecture notes:
  • http://vgc.poly.edu/~juliana/courses/BigData2014/Lectures/relational-algebra.pdf
  • http://vgc.poly.edu/~juliana/courses/BigData2014/Lectures/sql-intro.pdf
  • http://vgc.poly.edu/~juliana/courses/BigData2014/Lectures/sql-more.pdf
• Other useful reading:
  • Greenspun's SQL for Web Nerds Intro
  • SQL/Nerds Modeling (parts)

• Feb 13: Lab: Canceled -- University closed due to snow ==

Week 3.1 -- Feb 17: Holiday

• No class, holiday
• Feb 20 Lab: hands-on SQL
  • Big Data Lab notes 02/19/14

Week 4 -- Feb 24: Overview: Advanced SQL and Query Optimization

• Lecture notes:
  • http://vgc.poly.edu/~juliana/courses/BigData2014/Lectures/xml_schema_query.pdf
  • http://vgc.poly.edu/~juliana/courses/BigData2014/Lectures/query-opt.pdf

• Homework assignment: Assignment 2 - Data Exploration using SQL

Big Data Foundations and Infrastructure (2 weeks)

Week 5 -- Mar 3: Cloud computing, Map Reduce and Hadoop

• Lecture notes:
  • http://vgc.poly.edu/~juliana/courses/BigData2014/Lectures/mapreduce-intro.pdf

• 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).

• Other useful reading:
  • Hadoop: The Definitive Guide. http://www.amazon.com/Hadoop-Definitive-Guide-Tom-White/dp/1449311520

• Homework Assignment -- Your first quiz is available on Gradiance. It is due on March 17th at 5pm.

Week 6 -- Mar 10: Algorithm Design for MapReduce

• Lecture notes:
  • http://vgc.poly.edu/~juliana/courses/BigData2014/Lectures/mapreduce-algo-design.pdf

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

Machine Learning and Big Data (3 weeks)

Week 7 -- Mar 23: 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 -- Mar 30: 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 -- Apr 7: 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 -- April 14: Parallel Databases vs MapReduce, Query Processing on Mapreduce and High-level Languages

• Lecture notes:
  • http://vgc.poly.edu/~juliana/courses/BigData2014/Lectures/paralleldb-vs-hadoop-2014.pdf
  • http://vgc.poly.edu/~juliana/courses/BigData2014/Lectures/hive-pig.pdf
  • http://vgc.poly.edu/~juliana/courses/BigData2014/Lectures/data-analysis-mapreduce.pdf

• Required reading:
  • Data-Intensive Text Processing with MapReduce (Jan 27, 2013), Chapter 6 -- Processing Relational Data (this chapter appears in the 2013 version of the textbook -- I have placed this version in http://vgc.poly.edu/~juliana/courses/BigData2014/Textbooks/MapReduce-algorithms-Jan2013-draft.pdf)
  • Benchmark DBMS vs MapReduce (2009): http://database.cs.brown.edu/sigmod09/benchmarks-sigmod09.pdf
  • MapReduce: A Flexible Data Processing Tool: http://cacm.acm.org/magazines/2010/1/55744-mapreduce-a-flexible-data-processing-tool/fulltext

• Additional reading:
  • 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

Big Data Algorithms and Techniques (3 weeks)

Week 11 -- April 21: Data Management for Big Data (cont) and Association Rules

• Lecture notes:
  • http://vgc.poly.edu/~juliana/courses/BigData2014/Lectures/association-rules.pdf

• Reading: Chapter 6 Mining of Massive Datasets

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

Week 12 -- Apr 28: Finding similar items: Invited lecture by Dr. Harish Doraiswami

• Lecture notes:
  • http://vgc.poly.edu/~juliana/courses/BigData2014/Lectures/similarity.pdf

• Reading: Chapter 3 Mining of Massive Datasets

• Homework Assignment
  • There are two new quizes on Gradiance -- Distance measures and document similarity. They due on May 5th.
  • 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 -- May 5: Graph Analysis and Exam Review

• Lecture notes:
  • http://vgc.poly.edu/~juliana/courses/BigData2014/Lectures/graph-algos.pdf
  • http://vgc.poly.edu/~juliana/courses/BigData2014/Lectures/exam-review.pdf

Week 15 -- May 19: Large-Scale Visualization -- Invited lecture by Dr. Lauro Lins (AT&T Research)

• Lecture notes:
  • http://vgc.poly.edu/~juliana/courses/BigData2014/Lectures/intro-to-visualization.pdf
  • http://vgc.poly.edu/~juliana/courses/BigData2014/Lectures/nanocubes.pdf

• 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