A deeper dive into the technology supporting DataForge operation.
This section goes into deeper technical detail about the technology powering DataForge. The information presented here is useful for understanding how the various technology pieces come together, as well as for knowing where to go if performing more in-depth troubleshooting.
Audience
The intended audiences for this section are the following:
- Cloud and application architects looking to understand which cloud resources DataForge requires for its operation.
- Data architects who are looking to understand how the technology compares to other tools and frameworks, as well as get a deeper understanding of how the technical pieces come together.
- Experienced DataForge configurators who are looking to leverage DataForge internal metadata structures and understand possible areas to look at for more advanced troubleshooting.
- Developers looking to gain a deeper understanding of what DataForge does in anticipation of needing to work on DataForge core processing code.
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