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. The course is developed in cooperation with IBM, IBM professionals will be guest lecturers in this course and several IBM tools and technologies will be used in labs and homeworks.
General Information
Lecture
09:00-11:00 Room 312
Lab/Lecture
11:00-13:00 Room 312
Name | Office Hours | |
---|---|---|
Murat Özbayoğlu | When? Where? | |
Erdoğan Doğdu | When? Where? | |
Huseyin YILMAZ | When? Where? |
Homework Solutions
Nothing has been added to the Homework Solutions section, yet. Stay tuned!
Lecture Notes
Lecture Notes
Lecture Date
Mar 13, 2014
Mar 6, 2014
Feb 13, 2014
Feb 13, 2014
Feb 6, 2014
Feb 6, 2014
Feb 6, 2014
Jan 30, 2014
Jan 30, 2014
Jan 23, 2014
Jan 16, 2014
Jan 17, 2014
Jan 9, 2014
General Resources
General Resources