> ## Documentation Index
> Fetch the complete documentation index at: https://domoinc-openapi-sync-dataflows.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Atara glu Connector

## Intro

Atara glu is an automated custom report generation service for digital marketers. Atara Glu pulls data from a diverse range of ad media and analytic tools, enabling you to centrally manage all your ad data on one interface. Take ad performance visualization to the next level with the Domo connector. Export CSV report files from glu dice directly to the Domo dashboard. You may create multiple report patterns per dice.

You can connect to your Atara glu account in the Data Center. This topic discusses the fields and menus that are specific to the Atara glu connector user interface. To add DataSets, set update schedules, and edit DataSet information, see [Adding a DataSet Using a Data Connector](/s/article/360042926274 "Adding a DataSet Using a Data Connector").

## Prerequisites

To connect to your Atara glu account and create a DataSet, you must have the following:

* Hostname
* Password
* Port
* Username

## Connecting to Your Atara glu Account

This section enumerates the options in the **Credentials** and **Details** panes in the Atara glu Connector page. The components of the other panes in this page, **Scheduling** and **Name & Describe Your DataSet**, are universal across most connector types and are discussed in great detail in [Adding a DataSet Using a Data Connector](/s/article/360042926274 "Adding a DataSet Using a Data Connector").

## Credentials Pane

This pane contains fields for entering credentials to connect to your Atara glu account. The following table describes what is needed for each field:

<table border="1" cellpadding="1" cellspacing="1" data-aura-rendered-by="33:195;a"><thead><tr><th colspan="1" rowspan="1"><p><span class="s1"> Field </span></p></th><th colspan="1" rowspan="1"><p><span class="s1"> Description </span></p></th></tr></thead><tbody><tr><td colspan="1" rowspan="1"><p> Hostname </p></td><td colspan="1" rowspan="1"><p> Enter the hostname or IP address of the glu SFTP server. \[e.g. <a target="_blank" title="sftp://127.0.0.1"> sftp\://127.0.0.1 </a> ] </p></td></tr><tr><td colspan="1" rowspan="1"><p> Password </p></td><td colspan="1" rowspan="1"><p> Enter the glu SFTP password. </p></td></tr><tr><td colspan="1" rowspan="1"><p> Port </p></td><td colspan="1" rowspan="1"><p> Enter the glu SFTP server port. \[e.g. 43009] </p></td></tr><tr><td colspan="1" rowspan="1"><p> Username </p></td><td colspan="1" rowspan="1"><p> Enter the glu SFTP username. </p></td></tr></tbody></table>

Once you have entered valid Atara glu credentials, you can use the same account any time to create a new Atara glu DataSet. You can manage connector accounts in the **Accounts** tab in the Data Center. For more information about this tab, see [Managing User Accounts for Connectors](/s/article/360042926054 "Managing User Accounts for Connectors").

## Details Pane

<table border="1" cellpadding="1" cellspacing="1" data-aura-rendered-by="33:195;a"><thead><tr><th colspan="1" rowspan="1"><p> Menu </p></th><th colspan="1" rowspan="1"><p> Description </p></th></tr></thead><tbody><tr><td colspan="1" rowspan="1"> Filename Pattern </td><td colspan="1" rowspan="1"> This connector downloads all files that match the filename pattern from the glu SFTP server.\[ For example, for filename: N\_TEST\_CPtest\~XXXXXX.csv, a valid filename pattern is: N\_TEST\_CPtest] </td></tr><tr><td colspan="1" rowspan="1"> Date Format </td><td colspan="1" rowspan="1"> This feature corrects the Date,if formatted incorrectly. Select the date format that matches the date format in the files on the glu SFTP server. \[For example, 2016/12/01 would be YYYY/MM/DD] </td></tr><tr><td colspan="1" rowspan="1"> Select the delimiting character </td><td colspan="1" rowspan="1"> Select the column delimiter character used in the CSV files on the glu SFTP server. </td></tr></tbody></table>

## Other Panes

For information about the remaining sections of the connector interface, including how to configure scheduling, retry, and update options, see [Adding a DataSet Using a Data Connector](/s/article/360042926274 "Adding a DataSet Using a Data Connector").
