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
Announcements
asg2 has been added to class homepage under Resources
1/27/15 6:26 PM
The teaching staff has posted a new homework resource.
Title: asg2
http://www.piazza.com/class_profile/get_resource/i4jycqq9n8q6fv/i5fhxlojbtx194
Due date: Feb 2, 2015
You can view it on the course page: https://piazza.com/etu.edu.tr/spring2015/bil401501/resources
| Name | Office Hours | |
|---|---|---|
Erdoğan Doğdu | When? Where? |
Lab
Lab
Date
General Resources
General Resources