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

# Introduction to Streams (Data Tables)

## Overview

Streams, also known as Data Tables, are a fundamental component in IoT. They enable the real-time processing and analysis of data coming from connected devices, sensors, and systems, making it possible to monitor and interpret data as it’s generated.

## Uses of Streams

Streams are used to collect and process real-time data from IoT devices, which can then be visualized in dashboards for monitoring and analysis. For instance, you can create separate streams for temperature and GPS data, which enables you to monitor each truck’s temperature and location in real-time.

<CardGroup cols={2}>
  <Card title="Create a Stream" icon="plus" href="/platform-guide/streams-tables/creating-a-stream">
    You can create a stream and use it to visualize data in Dashboards.
  </Card>

  <Card title="Add Fields to a Stream" icon="plus" href="/platform-guide/streams-tables/add-fields-to-stream">
    You can add new fields to an existing stream
  </Card>

  <Card title="Edit Datatypes of Field in a Stream" icon="pencil" href="/platform-guide/streams-tables/edit-datatypes-of-field-in-a-stream">
    You can edit the datatypes of field in an existing stream
  </Card>

  <Card title="Edit Units of Field in a Stream" icon="pencil" href="/platform-guide/streams-tables/edit-units-of-field-in-a-stream">
    You can edit the units of field in an existing stream
  </Card>

  <Card title="Delete Fields in a Stream" icon="trash" href="/platform-guide/streams-tables/delete-fields-in-stream">
    You can delete the fields in an existing stream
  </Card>

  <Card title="Delete a Stream" icon="trash" href="/platform-guide/streams-tables/deleting-a-stream">
    You can delete the streams that are no longer needed.
  </Card>
</CardGroup>