đ Cloud Data Platforms & Large-Scale Processing
- UNC Charlotte DSBA 6190: Cloud Computing for Data Analysis: A graduate-level course repository exploring cloud-native data architectures. It provides structured notes on implementing machine learning, managing distributed big data pipelines, and structuring analytical workspaces using Microsoft Azure.
đ UNCC DSBA 6190 GitHub Repository [1] - University of Maryland CMSC 389L: Practical Cloud Computing with AWS: A programming-intensive course repository detailing how to build and orchestrate applications using standard cloud data blocks. It focuses on practical storage, web scaling, serverless workflows, and scalable design patterns using AWS S3, EC2, and Lambda.
đ UMD CMSC 389L GitHub Repository [1, 2, 3] - EURECOM: Data-Intensive Scalable Computing and Clouds: LaTeX course sources and lecture notes detailing data-intensive distributed environments. This curriculum maps out advanced storage processing architectures, high-performance computing trade-offs, and cloud resource provisioning at scale.
đ EURECOM DISC-CLOUD GitHub Repository - UIUC ACCY 571: Advanced Data Science & Cloud Computing: A data science repository mapping advanced analytical environments. The syllabus and materials break down distributed big data processing architectures including Hadoop, NoSQL data stores, Apache Spark, and streaming data analysis.
đ UIUC ACCY 571 GitHub Repository