PhD course - Designing Distributed Geospatial Data-Intensive Applications
Overview
PhD degree level courseI am co-teaching this PhD course in collaboration with Prof. Luca Foschini during 2022 at University of Bologna.
Course Description
With most data arriving from real-world data-intensive problems being geo-referenced, it is becoming indispensable to design distributed geospatial software solutions for the large-scale management of such data. This course brings the foundational knowledge, explaining pivotal aspects pertinent to designing highly efficient distributed geospatial solutions for data-intensive applications. It covers the enabling technologies and architectures in Cloud storage and computing, including programing models (such as MapReduce and SQL-like declarative models) and algorithms from a middleware perspective.
Schedule
| Part# | Slides | |||
|---|---|---|---|---|
| Part 1: Introduction to distributed data-intensive applications | download part1_1 : 18 July 2022 | download part1_2 : 18 July 2022 | ||
| Part 2: Designing highly efficient geospatial data-intensive solutions | download part2_1 : 22 July 2022 | download part2_2 : 25 July 2022 | download part2_3 : 25 & 27 July 2022 | |
| Part 3: Designing QoS-aware approximate solutions for distributed geo-spatial data-intensive applications | download part 3 : 27 July 2022 | |||
| Part 4: state-of-art relevant papers discussion | download part 4 : 29 July 2022 |
course site: PhD Course 2022
in collaboration with Prof. Luca Foschini
Isam Al Jawarneh
Assistant Professor
My research interests include big data management (Cloud & Edge), large-scale geospatial database systems,context-aware recommender systems, data warehousing & data lakes.