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The philosophy is to have the framework handle the source updates, and having developers only worry about defining a series of data transformation, inspired by spreadsheet.
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## Data Flow programming
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Unlike a workflow orchestration framework where data is usually opaque, in CocoIndex, data and data operations are first class citizens. CocoIndex follows the idea of [Dataflow](https://en.wikipedia.org/wiki/Dataflow_programming) programming model. Each transformation creates a new field solely based on input fields, without hidden states and value mutation. All data before/after each each transformation is observable, with lineage out of the box.
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## Dataflow programming
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Unlike a workflow orchestration framework where data is usually opaque, in CocoIndex, data and data operations are first class citizens. CocoIndex follows the idea of [Dataflow](https://en.wikipedia.org/wiki/Dataflow_programming) programming model. Each transformation creates a new field solely based on input fields, without hidden states and value mutation. All data before/after each transformation is observable, with lineage out of the box.
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**Particularly**, users don't define data operations like creation, update, or deletion. Rather, they define something like - for a set of source data, this is the transformation or formula. The framework takes care of the data operations such as when to create, update, or delete.
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**Particularly**, users don't explicitly mutate data by creating, updating and deleting. Rather, they define something like - for a set of source data, this is the transformation or formula. The framework takes care of the data operations such as when to create, update, or delete.
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```python
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# import

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