Description
Storing, indexing, accessing and processing techniques for big data. Map/Reduce algorithm and related technologies. Data analysis and application in big data ecosystem. This course covers the basics of big data processing and analysis; answers the following questions: what the big data is and its differences from the traditional data and traditional processing methods, where it is used, how it is used.
General Information
Lecture
Tue 10:30 – 12:20, (Room 183), Thu 13:30 – 15:20, (Room 183)
Textbooks
(1) Data-Intensive Text Processing with MapReduce
Jimmy Lin and Chris Dyer. Morgan & Claypool Publishers, 2010.
http://lintool.github.io/MapReduceAlgorithms/
(2) Hadoop: The Definitive Guide, 3rd Edition
Tom White, O'Reilly
http://shop.oreilly.com/product/0636920021773.do
Jimmy Lin and Chris Dyer. Morgan & Claypool Publishers, 2010.
http://lintool.github.io/MapReduceAlgorithms/
(2) Hadoop: The Definitive Guide, 3rd Edition
Tom White, O'Reilly
http://shop.oreilly.com/product/0636920021773.do
Name | Office Hours | |
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Erdoğan Doğdu | When? Where? |
Lab
Lab
Date
General Resources
General Resources