> For the complete documentation index, see [llms.txt](https://docs.tailer.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tailer.ai/data-pipeline-operations/untitled.md).

# Overview

## 🔄 What is a data pipeline?

A data pipeline is a series of operations executed sequentially or simultaneously, where the output of one operation is the input of the next one:

![](/files/ka3UtIQ6uR7xzbAhnKaF)

Tailer Platform data pipeline operations allow you to connect data sources, consolidate and normalize your data, store them, and feed different tools to obtain analytics, reports and dashboards.

## 🔢 Types of data pipeline operations

Tailer Platform offers the following types of data pipeline operations:

* [Storage to Storage](/data-pipeline-operations/move-files-with-storage-to-storage.md): Move files from one storage to another
* [API to Storage](/data-pipeline-operations/stream-incoming-data-with-api-to-storage.md): Stream incoming data into a storage
* [XML to CSV](/data-pipeline-operations/xml-conversion.md): Convert complex XML file into a set of CSV files
* [Storage to Tables](/data-pipeline-operations/load-data-with-storage-to-tables.md): Load data into BigQuery tables
* [Tables to Tables](/data-pipeline-operations/transform-data-with-tables-to-tables.md): Transform data within BigQuery tables
* [Table to Storage](/data-pipeline-operations/export-data-with-tables-to-storage.md): Export data from a table to a storage
* [Workflow](/data-pipeline-operations/orchestrate-processings-with-workflow.md): Trigger the execution of your other data operations