Data Store Details

The details page for a data store gives you everything you need to know about the data store all in one place.



The title section contains the name of the data store, basic information about the points of contact and type of Data Store, as well as the buttons required to edit the data store and to edit the team access to the Data Store (if your permissions allow).

If your data store has been connected and you have the ability to view data within this data store then you will see a badge indicating that you are connected.


When you are viewing a data store that has not been connected to Tree Schema or if you do not have permissions or if the existing connection is no longer valid (e.g. password change) then you will see the title without the connected badge:



If you do not see the Connected icon at the top but you think that the Data Store is indeed connected it may be because you are not in a team that has access to view data for the Data Store


The README section gives you the ability to create a description for your Data Store that everyone will remember! It’s a great place to post common usage, important things to note, and other general information about your Data Store.


You can edit your README by selecting the edit button in the top right section.


Attributes can be thought up as key-value pairs. All of the non-sensitive attributes for a given data store are displayed but the attributes that contain sensitive data (e.g. password, AWS Access Key, etc.) are kept hidden. You may decide that there are other important attributes you want to add for your data store, perhaps the IP for a jump-host that users should use to access this data-store.



Tags are a great way to quickly add labels to your data store. Later on, in the Tags section, we will see how you view all of your tagged items in a single place.



The Details section of the Data Store contains everything about how your Data Store fits into your overall data ecosystem. Each of the sections below represents a tab that may be available to your data store if applicable.


All of the schemas that reside within the Data Store are listed here, you can navigate directly to the details for the Data Schema by clicking on the Visit Schema button.



Any outstanding governance actions for this Data Store as well as all of it’s children are displayed here.

For example, if this Data Store has 2 outstanding governance actions, all of the Data Schemas within this Data Store have a combined 5 outstanding actions and all of the Fields within those schemas have another 3 outstanding actions then you will see 10 outstanding actions displayed for this Data Store. If you are the owner for one or more of these actions then you will have the option to mark the action as dismissed or completed.



The two types of Experts are displayed for Data Stores:

  1. Power Users: the users that use this Data Store the most often.

  2. Volunteer SMEs: the users who raise their hands and volunteer as experts

These are a great way to quickly find out who is actually using this Data Store and who you can contact if you have questions!



You can add, edit or reply to comments for your Data Stores. This is a good way to capture information that may be useful for your other team members such as “how do you set up an SSH tunnel to connect to this Data Store” or “Step by step for how to connect to this Data Store using Python”.



Lineage tracks the relationships between fields and displays those relationships as they exist within Data Schemas and Data Stores. Lineage provides you a way to interact and ask questions to your data, such as “What other Data Stores does this Data Store send data to?” or “How many schemas from this Data Store are making it into the anaytical environment?”.

When you view the lineage from a Data Store it initially only loads the linege that either goes into or out of the Data Store.


To learn more about how to use lineage, visit the Lineae and Exploration page.