Textbook and References
Textbook
Reference Books
- Jawwad Ahmad Shamsi and Muhammad Khojaye. Big Data Systems: A 360-degree Approach. Chapman & Hall/CRC, 2021. (Will ship after May 11, 2021.)
- Balamurugan Balusamy, Nandhini Abirami R, Seifedine Kadry, Amir H. Gandomi. Big Data: Concepts, Technology, and Architecture. Wiley, 2021.
- Sherif Sakr. Big Data 2.0 Processing Systems: A Systems Overview, 2nd Edition. Springer, 2020.
- S. Sasikala and D. Renuka Devi (Authors), Raghvendra Kumar (Editor). Research Practitioner's Handbook on Big Data Analytics. Apple Academic Press, 2023.
- Guido Dartmann, Houbing Song, et al. Big Data Analytics for Cyber-Physical Systems: Machine Learning for the Internet of Things. Elsevier Science Publishing Co Inc., 2019.
- Kai Hwang and Min Chen. Big Data Analytics for Cloud, IoT and Cognitive Computing. John Wiley & Sons Ltd., 2017.
- Sherif Sakr. Big Data 2.0 Processing Systems: A Survey. Springer, 2016.
- Tom White. Hadoop: The Definitive Guide, 4th Edition, O'reilly, 2015.
- Jure Leskovec, Anand Rajaraman, Jeff Ullman. Mining of Massive Datasets. Cambridge University Press, 2010~2014.
- Mohammed J. Zaki and Wagner Meira JR. Data Mining and Machine Learning - Fundamental Concepts and Algorithms, 2nd Edition. Cambridge University Press, 2020.
- Donald Miner and Adam Shook. MapReduce Design Patterns, O'reilly, 2012.
Resources
Here are some useful resources on big data.