CS-E4640 - Big Data Platforms D, Lecture, 11.1.2023-13.4.2023
This course space end date is set to 13.04.2023 Search Courses: CS-E4640
Lecture 1 - Architecting Big Data Platforms
Completion requirements
Overview
Key architectural principles for designing big data platforms.
- Slides of the lecture
- Homework (not assignment - no grading)
Reading List
- Shadi Khalifa, Yehia Elshater, Kiran Sundaravarathan, Aparna Bhat, Patrick Martin, Fahim Imam, Dan Rope, Mike Mcroberts, and Craig Statchuk. 2016. The Six Pillars for Building Big Data Analytics Ecosystems. ACM Comput. Surv. 49, 2, Article 33 (August 2016), 36 pages. DOI: https://doi.org/10.1145/2963143
- NIST Big Data: https://bigdatawg.nist.gov/V2_output_docs.php
- Chapter 1: Martin Kleppmann, [Designing Data-Intensive Applications](http://dataintensive.net/), O'Reilly Media,1 edition (April 11, 2017)
- Pulkit Agrawal, Rajat Arya, Aanchal Bindal, Sandeep Bhatia, Anupriya Gagneja, Joseph Godlewski, Yucheng Low, Timothy Muss, Mudit Manu Paliwal, Sethu Raman, Vishrut Shah, Bochao Shen, Laura Sugden, Kaiyu Zhao, and Ming-Chuan Wu. 2019. Data Platform for Machine Learning. In Proceedings of the 2019 International Conference on Management of Data (SIGMOD '19). ACM, New York, NY, USA, 1803-1816. DOI: https://doi.org/10.1145/3299869.3314050
- Links in the slides
Last modified: Wednesday, 12 January 2022, 11:48 AM