Difference between revisions of "Course: Massive Data Analysis 2014"
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== Week 13 -- Dec 1: | == Week 13 -- Dec 1: | ||
== Week 14 -- Dec 8: | == Week 14 -- Dec 8: Project Presentations == | ||
== Week 15 -- Dec 15: | == Week 15 -- Dec 15: Project Presentations == | ||
Revision as of 03:04, 8 September 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
- Welcome!
Background (4 weeks)
Week 1 -- Sept 8: Course Overview; the evolution of Data Management
- Lecture notes: http://vgc.poly.edu/~juliana/courses/MassiveDataAnalysis2014/Lectures/course-overview.pdf (http://vgc.poly.edu/~juliana/courses/MassiveDataAnalysis2014/Lectures/course-overview-6p.pdf)
- Reading: Chapter 1 of Mining of Massive Data Sets (version 1.1)
- Course survey: https://docs.google.com/spreadsheet/embeddedform?formkey=dFpwTjROVzhLUWY2NVNXb0xvNTVLMnc6MA
Week 2 -- Sept 15: Introduction to Databases
- Lecture notes: http://vgc.poly.edu/~juliana/courses/MassiveDataAnalysis2014/Lectures/intro-to-db.pdf
- Other useful reading:
Week 3 -- Sept 22: Overview: Relational Model and SQL
- Lecture notes:
- Other useful reading:
Week 4 -- Sept 29: Overview: Advanced SQL and Query Optimization
- Lecture notes:
Big Data Foundations and Infrastructure (3 weeks)
Week 5 -- Oct 6: Cloud computing, Map Reduce and Hadoop
- Lecture notes:
- 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
Week 6 -- Oct 13: Fall Break
Week 7 -- Oct 20: Algorithm Design for MapReduce
- Lecture notes:
- 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
- Lecture notes:
- 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/MassiveDataAnalysis2014/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 9 -- Nov 3: Association Rules
- Lecture notes:
- Reading: Chapter 6 Mining of Massive Datasets
Week 10 -- Nov 10: Finding similar items
- Reading: Chapter 3 Mining of Massive Datasets
Week 11 -- Nov 17: Graph Analysis
- Lecture notes:
Week 12 -- Nov 25: Large-Scale Visualization -- Invited lecture by Dr. Lauro Lins (AT&T Research)
- Lecture notes:
- 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: