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{{presentation
|presenters=Emmanuel Beraud
|abstract=Did you know that TDMS files are awesome? The Technical Data Management Streaming format combines the ability to stream data to disk in a very efficient manner and a hierarchical structure to assign names and properties to your channels.
While the standard palette is a great way to get started and is suitable for many applications, in this talk we’ll dig into the Advanced API and perform a lower-level manipulation of the files’ content. We’ll see how we can easily find ourselves pulling our hair out if we’re not being careful enough.
After an overview of TDMS files’ benefits and internal structure, we’ll create a black-box recorder able to log data over a long period of time without interruption. Then we’ll find out how to decimate a large set of data spanning across multiple files to fill a waveform graph.
|youtube-id=EWj68O6c9-o
}}
}}


==Presentation links==
==Presentation links==
*[https://discord.com/channels/999092407016636476/1271076033218609203/1284184950895280229] (Discord)
*[https://discord.com/channels/999092407016636476/1271076033218609203/1284184950895280229 Presentation slides] (Discord)


[[Category:GDevCon-5]]
[[Category:GDevCon-5]]

Latest revision as of 16:07, 4 January 2025

GDevCon#5
Leveraging the power of TDMS files
Conference GDevCon#5
Presenters Emmanuel Beraud
Leveraging the power of TDMS files by Emmanuel Beraud

Did you know that TDMS files are awesome? The Technical Data Management Streaming format combines the ability to stream data to disk in a very efficient manner and a hierarchical structure to assign names and properties to your channels.

While the standard palette is a great way to get started and is suitable for many applications, in this talk we’ll dig into the Advanced API and perform a lower-level manipulation of the files’ content. We’ll see how we can easily find ourselves pulling our hair out if we’re not being careful enough.

After an overview of TDMS files’ benefits and internal structure, we’ll create a black-box recorder able to log data over a long period of time without interruption. Then we’ll find out how to decimate a large set of data spanning across multiple files to fill a waveform graph.



Presentation links