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Django Beyond Static Models: ORM Tricks for Unstructured AI Data
Describe your Talk
Traditional Django models rely on predefined structures, but AI-driven applications often deal with dynamic and unpredictable data. Managing such data with constant migrations can be a major bottleneck. This talk explores how to leverage Django’s ORM to build dynamic models that adapt to changing data structures—without relying on JSONFields or constant schema migrations.
We’ll cover:
Creating and managing actual database tables dynamically at runtime.
Using Django’s ORM capabilities to structure unpredictable AI data efficiently.
Implementing dynamic filters to query evolving datasets seamlessly.
Scaling dynamic data while maintaining performance and integrity.
Best practices for handling schema evolution without frequent migrations.
If Time allows will Show a real-world project that builds multiple AI-powered applications by combining multiple AI models—and how this dynamic modeling approach makes it possible.
Pre-requisites & reading material
Familiarity with Django models and ORM
Basic understanding of relational databases (e.g., PostgreSQL, MySQL)
Experience with Django QuerySet API
Interest in dynamic data handling and AI applications
Hi @Knighthawk-Leo, thanks for proposing a talk on this topic!
If Time allows will Show a real-world project that builds multiple AI-powered applications by combining multiple AI models—and how this dynamic modeling approach makes it possible.
Yes, this would be great. Everyone loves a practical demo, so please feel free to bump up the time required to a thirty-minute slot if you need it. Considering the prerequisites you've listed, taking a bit longer makes sense, too – as you may then spend a bit of time explaining them to the audience.
It would be nice if you could share some slides, please! No worries if they aren't ready yet.
Also, ou've mentioned that your availability is for 22/02/2025; our meetup would be on 15/02/2025 (every third Saturday). Would that work for you? If yes, I'll mark this as accepted.
Title
Django Beyond Static Models: ORM Tricks for Unstructured AI Data
Describe your Talk
Traditional Django models rely on predefined structures, but AI-driven applications often deal with dynamic and unpredictable data. Managing such data with constant migrations can be a major bottleneck. This talk explores how to leverage Django’s ORM to build dynamic models that adapt to changing data structures—without relying on JSONFields or constant schema migrations.
We’ll cover:
Pre-requisites & reading material
Time required for the talk
30
Link to slides/demos
No response
About you
I am a Backend Developer
We can Connect over Here
Availability
15/02/2025
Any comments
No response
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