---
title: Data Discovery
slug: reference-guide-3-0-0/data-discovery
description: Learn how to use the Discovery process to effectively identify sensitive data in specific tables with this comprehensive document. Navigate to the Sensitive Data Discovery section, access the Discovery tab, and configure various parameters such as databas
docTags: 
createdAt: 2022-08-01T17:37:22.000Z
---

Discovery processes are applied to selected tables by determining the percentage of expected matched data and number of rows to be scanned.

1. Navigate to **Sensitive Data Discovery**.
2. Open the **Discovery** tab.
3. Select the** Database**, **Schema**,** Table, Pattern**, **Sample Data Count**, and **Expected Matched Percentages**.
4. Click the **Discover** button.

![](https://api.archbee.com/api/optimize/g9cApVza9NIhSh0pjZYtA/gdPbAEoRjCn3A6D9iAH7P_image.png "Data Discovery")

**Thread Count**: The parallel connection count that will be opened on this database when discovering sensitive data. 


The default value seen when the page is opened is 10. The default value can be changed by setting the “**sdd.thread.count.default**” parameter in the System Config Manager. The minimum value of the count is 1 and the maximum value can vary.


If the “**Max. Thread Count for Sensitive Data Discovery**” parameter is set in the datasource definition (see also section [](https://app.archbee.com/docs/jsymInd0w_SXayMlKGOmR/41dCnmfY47vuF1lAofexn) [Creating Datasources](docId\:AsU-dMN1rt7gj8mFyksBa)) , the value is the maximum value the thread count can take. If the maximum value is not defined in the data source, the **sdd.max.thread.count** parameter value defined in the System Config. Manager is valid as the maximum value. The **sdd.max.thread.count** default value is 500.


**Sample Data Count**: Sample data count to be scanned for sensitive data discovery. For example, if this value is 10, the first 10 rows of the table columns are scanned. 


**Expected Match Percentage**: The discovered data is listed in the search results when the scanned data is matched in rate with the “expected match percentage”.