

Distributing Geospatial Data
Feb 15, 2023
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
Introduction
00:00 • 2min
Distributed Databases for Geospatial Data Processing
02:15 • 4min
The Importance of Geospatial Partitioning
05:45 • 2min
The Benefits of Partition Parallelism in Data Mining
07:33 • 2min
How to Achieve Massive Parallelism in Spatial Queries
09:33 • 2min
The Importance of Load Balancing in Parallel Processing
11:41 • 4min
The Importance of Parallel Processing
16:02 • 2min
Parallel Processing on Raster Data
17:33 • 2min
The Challenges of Partitioning Vector Data
19:05 • 2min
Distributed Databases for Parallel Processing
21:24 • 3min
The Benefits of a Distributed System for Uber
24:33 • 3min
Apache Sedona: A Distributed Geospatial Data System for Machine Learning Parallel Processing
27:37 • 2min
The Importance of Transparency in Distributed Systems
29:53 • 2min
Apache Soudon: A General Purpose Data Processing System
31:58 • 2min
Apache Sordona: A Database Management System
33:36 • 2min
The Future of Distributed Databases
35:22 • 5min
The Importance of Data Lakes
40:34 • 3min
The Cost of Data Lakes
43:44 • 4min
How to Reach Out to Me About Apache Sedona
47:48 • 3min