> For the complete documentation index, see [llms.txt](https://datafibers-community.gitbook.io/datafibers-complete-guide/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://datafibers-community.gitbook.io/datafibers-complete-guide/reader-guideline.md).
# Reader Guideline
This guideline book will be useful for both nontechnical and technical readers.
In terms of using DataFibers, there is no specialized skills or previous experience with stream processing are necessary to understand the explanations of underlying concepts of DataFibers’ designs and capabilities, although a general familiarity with big data systems is helpful.
To be able to understand the core design and extensive usage as well as code contribution, experience with Java is needed, but the key concepts underlying the design and development are explained clearly in proper sections.
There are generally three learning paths available for different type of users.
* For analysts, data engineers ...
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You'll need to read
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* For developers,
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to be added
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* For contributors,
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to be added
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Following annotations are used in this book.
> 
This is for information.
>
> 
This is for pitfalls.
>
> 
This is for tips.