As your Slate database grows year over year in both record volume and complexity, you may notice some features exhibiting strain under heavy resource utilization. To keep your database working at peak efficiency, perform the audits outlined in this ...

Slate is powerful, but with that power comes the ability to create conditions that lead to errors or reduced speed. This article shows you the tools Slate provides to alleviate these issues. 📖 Related reading: If you aren’t currently experie...

Data Cleanup Tool Cleanup scripts run every night in production environments to remove duplicate data and fix invalid items. For additional information, refer to the article on the nightly cleanup process . Some of these scripts may be exe...

The Deletion Log lets you track and restore applications and dataset records that were manually deleted. To access the deletion log: Select Database from the main navigation. Select Deletion Log . A list of deleted records appears. ...

The Resource Auditor allows users to see active and ongoing information about objects in Slate. Use the Resource Auditor to determine whether objects should be inactivated, archived, or updated for your next cycle. Select an item to display in...

Retention policies are used to delete or purge data. Reasons to delete data include: Compliance with state or federal laws such as the Family Educational Rights and Privacy Act (FERPA) Adherence to institutional retention policies developed in...

Record Data Listed below are the Object types that can be selected within an individual retention policy. Some of these types allow for the deletion of specific values while retaining the data row. If an object does not have specific values listed,...

Note that new retention policies should be created using the new Retention Policy Tool . The Retention Policy tool is used to delete or purge data. Reasons to delete data may include: Compliance with state or federal laws such as FERPA (Famil...

Slate provides real-time access to its current data dictionary, which may be downloaded and viewed.  To view the data dictionary: Select Database on the top navigation bar and select Standard Query Library . Select Slate Data Diction...

You can provision a test environment to try out new features, gain hands-on experience with your database, and troubleshoot in a controlled setting before making the leap to your production environment. 🔔 Important: Terms and conditions ...

Clean Slate environments are a type of training database that come from one of three source types: Model environments: Blank, save for basic data structures that depend on lifecycle (that is, Admissions, Student Success, or Advancement). ...

Explore & copy workflows, forms & automations from a pre-built Slate Admissions Showcase database

Time Warp environments create a copy of your production database from any point in time within the past 90 days. When you’re in a Time Warp environment, this banner appears at the top of every page: 📝 Audit log data is not included in T...

There are numerous tools available to you within your Slate database that can help you troubleshoot behaviors and better understand Slate. Rules Rules Health Check Rules Preview Actions Rule Log Imports and Exports Job Activ...

If you’re thinking about consolidating databases—moving an operation from multiple, dedicated databases to just one—it’s worth considering the pros and cons. Here, we lay out the benefits and drawbacks of sharing databases among lifecycles (Admiss...