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Classroom Contents
Move Fast and Don't Break Things - How to Build a Scalable Data Platform
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- 1 Intro
- 2 About Dagworks
- 3 Todays Agenda
- 4 Agenda
- 5 Drag Race
- 6 Cognitive Dissonance
- 7 Time Energy
- 8 Quantitative Finance
- 9 Building a Platform
- 10 Strategic Goals of a Platform
- 11 My Favorite Platform
- 12 Getting Started
- 13 Users
- 14 Hamilton
- 15 DataFrames
- 16 Driver
- 17 TLDR
- 18 decorators
- 19 map to your data workflow
- 20 testing
- 21 unit test
- 22 pathway testing
- 23 Scaling
- 24 Parallelization
- 25 Data Quality
- 26 CheckOut
- 27 Customization
- 28 Life Cycle Method
- 29 materializes
- 30 production use case
- 31 machine learning pipeline
- 32 machine learning pipeline in practice
- 33 ML and Rag case
- 34 DAG case
- 35 Tokenizer
- 36 Summarization
- 37 Drive it Home
- 38 Recap
- 39 Platform abstraction
- 40 New approach to data
