---
title: "References"
slug: "references"
description: "Here you can find articles that can help guide you through various functionalities of our platform. Create your data pipeline in Dataddo in just a few steps."
tags: ["Reference"]
updated: 2026-04-15T11:34:21Z
published: 2026-04-15T11:34:28Z
canonical: "docs.dataddo.com/references"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://docs.dataddo.com/llms.txt
> Use this file to discover all available pages before exploring further.

# References and Troubleshooting

On this page, you will find a list of articles that provide detailed insights into specific features and configurations.

## References

[Available Connectors](/docs/available-connectors): See the full list of available connectors in Dataddo. [User Roles](/docs/user-roles#role-matrix): Enumerates system-defined roles, outlining their specific permissions and technical capabilities. [Setting Date Range](/docs/setting-date-range): Details standardized expressions utilized to define date ranges.

## Transformation Pipeline

[Transformation Pipeline Stages](/docs/transformation-pipeline-stages): Offers a detailed overview of each data transformation stage. [Transformation Pipeline Expressions](/docs/transformation-pipeline-expressions): Offers an in-depth explanation of transformation pipelined expression and their functions.

[Transformation Pipeline Practical Examples](/docs/transformation-pipeline-examples): Provides a number of practical examples of transformation pipeline scripts that you can try out.

## Troubleshooting

[Error Reporting Best Practice](/docs/error-reporting): Describes the standard methodology for documenting and relaying system errors. [Troubleshooting](/docs/troubleshooting): Lists system error messages accompanied by technical resolutions. [Schema Troubleshooting](/docs/schema#troubleshooting): Details specific errors associated with schema discrepancies and their technical implications. [Extraction Logs](/docs/extraction-logs): Catalogs log messages, detailing their technical significance within data extraction processes.