You can use OpenStreetMaps on your own hardware. You need to grab map files first, which can be found at https://download.geofabrik.de. Once you downloaded it, install PostgreSQL and enable few extensions: It may be useful at some point later on especially if you would like to try build your own tile server. Next you need to install osm2pgsql and it can be found in system packages in Ubuntu 22. Then: Now give it database password and it will start loading. Depening on hardware it might take from few minutes to tens of hours in case of large files like Europe
Data is valuable if consumed or at least identified. For private and corporate usages I suggest installing Redash as it gives options for saving queries, exporting data, creating visualizations and dashboards and also setting up alerts. There are few other interesting features like creating dropdowns and inputs from saved queries or joining resuls from different data sources thru in-memory SQLite instance. To install Redash, clone the repository. I recommend running Ubuntu 18 LTS server version as it is tested on this distribution. Then chmod a setup.sh file for execution and run it. It will ask for sudo password and going
As already stated in my year 2023 plans, there will be some time for graphics programming. Back in the days I was exploring OpenGL but that was way long ago. Nowadays I think to try something much simpler and accessible like for instance WebGL. This library relies on JavaScript for logic and OpenGL ES for presentation layer. So it is hardware accelerated. But there are some issues with this acceleration. On some computers you can specifically select particular GPU in BIOS/UEFI. However not on every computer. To start with I tried on Lenovo ThinkPad T420s with NVIDIA NVS 4200M. Testing
I’m looking forward for new year’s technology opportunities. I have few ongoing projects which I would like to finish by the end of this year. Here is some brief overview of them: Data Mining chapter of Simple HPC series News feed tool as a subproject for data mining AI/ML project utilizing news feed, OpenCL processing and user-input training Highly portable system monitoring tool for my day-shift Video graphics… most probably WebGL/THREE.js I will try to fit all of these within just around 300 hours available…